Millions of people worldwide have Internet access today. Intrusion detection technology is a modern wave of information technology monitoring devices to deter malicious activities. Malware development malicious software is a vital problem when it comes to designing intrusion detection systems IDS . The key challenge is to recognize unknown and hidden malware, because malware writers use various evasion techniques to mask information to avoid IDS detection. Malicious attacks have become more sophisticated and Furthermore, threats to security have increased, including a zero day attack on internet users. Through the use of IT in our daily lives, computer security has become critical. Cyber threats are becoming more complex and pose growing challenges when it comes to successful intrusion detection. Failure to prevent invading information, such as data privacy, integrity and availability can undermine the credibility of security services. Specific intrusion detection approaches were proposed in the literature to combat computer security threats. This paper consists of a literature survey of the IDS that uses program algorithms to use specific data collection and forensic techniques in real time. Data mining techniques for cyber research are introduced in support of intrusion detection. Mohammed I. Alghamdi "An Assessment of Intrusion Detection System (IDS) and Data-Set Overview: A Comprehensive Review of Recent Works" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd35730.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-security/35730/an-assessment-of-intrusion-detection-system-ids-and-dataset-overview-a-comprehensive-review-of-recent-works/mohammed-i-alghamdi
The document discusses various aspects of information security and network security. It defines information security and describes different types including physical security, communication security, and network security. It then discusses several common security processes and tools used for protection, such as anti-virus software, access controls, firewalls, intrusion detection systems, policy management, and vulnerability scanning. However, it notes that no single security measure provides complete protection and that security is an ongoing process.
Toward Continuous Cybersecurity with Network Automation
Network security is a dynamic art, with dangers appearing as fast as black hats can exploit vulnerabilities. While there are basic “golden rules” which can make life difficult for the bad guys, it remains a challenge to keep networks secure. John Chambers, Executive Chairman of Cisco, famously said “there are two types of companies: those that have been hacked, and those who don’t know they have been hacked”. The question for most organizations isn’t if they’re going to be breached, but how quickly they can isolate and mitigate the threat. In this paper, we’ll examine best practices for effective cybersecurity – from both a proactive (access hardening) and reactive (threat isolation and mitigation) perspective. We’ll address how network automation can help minimize cyberattacks by closing vulnerability gaps and how it can improve incident response times in the event of a cyberthreat. Finally, we’ll lay a vision for continuous network security, to explore how machine-to-machine automation may deliver an auto-securing and self-healing network.
Go to www.esgjrconsultinginc.com
Network infrastructures have played important part in most daily communications for business industries,
social networking, government sectors and etc. Despites the advantages that came from such
functionalities, security threats have become a daily struggle. One major security threat is hacking.
Consequently, security experts and researchers have suggested possible security solutions such as
Firewalls, Intrusion Detection Systems (IDS), Intrusion Detection and Prevention Systems (IDP) and
Honeynet. Yet, none of these solutions have proven their ability to completely address hacking. The reason
behind that, there is a few researches that examine the behavior of hackers. This paper formally and
practically examines in details the behavior of hackers and their targeted environments. Moreover, this
paper formally examines the properties of one essential pre-hacking step called scanning and highlights its
importance in developing hacking strategies. Also, it illustrates the properties of hacking that is common in
most hacking strategies to assist security experts and researchers towards minimizing the risk of hack.
The spread of information networks in communities and organizations have led to a daily huge volume of information exchange between different networks which, of course, has resulted in new threats to the national organizations. It can be said that information security has become today one of the most challenging areas. In other words, defects and disadvantages of computer network security address irreparable damage for enterprises. Therefore, identification of security threats and ways of dealing with them is essential. But the question raised in this regard is that what are the strategies and policies to deal with security threats that must be taken to ensure the security of computer networks? In this context, the present study intends to do a review of the literature by using earlier researches and library approach, to provide security solutions in the face of threats to their computer networks. The results of this research can lead to more understanding of security threats and ways to deal with them and help to implement a secure information platform.
1. Cyber Ethics and Cyber Crime
2. Security in Social Media & Risk of Child Internet
3. Social media in Schools and photo privacy
4. Risk of OSNs and Security, Privacy of Facebook
5. Risk and Security of Social Networking site Facebook and Twitter
6. Risk analysis of Government and Online Transaction
The document discusses various aspects of information security and network security. It defines information security and describes different types including physical security, communication security, and network security. It then discusses several common security processes and tools used for protection, such as anti-virus software, access controls, firewalls, intrusion detection systems, policy management, and vulnerability scanning. However, it notes that no single security measure provides complete protection and that security is an ongoing process.
Network security is a dynamic art, with dangers appearing as fast as black hats can exploit vulnerabilities. While there are basic “golden rules” which can make life difficult for the bad guys, it remains a challenge to keep networks secure. John Chambers, Executive Chairman of Cisco, famously said “there are two types of companies: those that have been hacked, and those who don’t know they have been hacked”. The question for most organizations isn’t if they’re going to be breached, but how quickly they can isolate and mitigate the threat. In this paper, we’ll examine best practices for effective cybersecurity – from both a proactive (access hardening) and reactive (threat isolation and mitigation) perspective. We’ll address how network automation can help minimize cyberattacks by closing vulnerability gaps and how it can improve incident response times in the event of a cyberthreat. Finally, we’ll lay a vision for continuous network security, to explore how machine-to-machine automation may deliver an auto-securing and self-healing network.
Go to www.esgjrconsultinginc.com
Network infrastructures have played important part in most daily communications for business industries,
social networking, government sectors and etc. Despites the advantages that came from such
functionalities, security threats have become a daily struggle. One major security threat is hacking.
Consequently, security experts and researchers have suggested possible security solutions such as
Firewalls, Intrusion Detection Systems (IDS), Intrusion Detection and Prevention Systems (IDP) and
Honeynet. Yet, none of these solutions have proven their ability to completely address hacking. The reason
behind that, there is a few researches that examine the behavior of hackers. This paper formally and
practically examines in details the behavior of hackers and their targeted environments. Moreover, this
paper formally examines the properties of one essential pre-hacking step called scanning and highlights its
importance in developing hacking strategies. Also, it illustrates the properties of hacking that is common in
most hacking strategies to assist security experts and researchers towards minimizing the risk of hack.
This paper describes the concept of implementing the network vulnerability assessment process as a web service in Eucalyptus cloud.This paper is published in one of the international conferences.I implemented the mentioned concept during my M.E. thesis.
This document discusses network intrusion detection systems (NIDS) and their ability to handle high-speed traffic. It introduces NIDS and their role in monitoring network traffic. The document presents an experiment that tests the open-source NIDS Snort under high-volume traffic. The experiment shows that Snort drops more packets as traffic speed and volume increases, demonstrating a weakness of NIDS in high-speed environments. It suggests using a parallel NIDS technique to help NIDS better handle high-speed network traffic and reduce packet dropping.
IRJET- Local Security Enhancement and Intrusion Prevention in Android Dev...IRJET Journal
This document proposes a local security enhancement and intrusion prevention system for Android devices. It summarizes existing host-based intrusion detection systems and behavior-based intrusion prevention systems for Android smartphones. The proposed system uses net flow based clustering to identify anomalies and correlates with host-based features to detect malware intrusions. The goal is to provide versatile security for Android smartphones by detecting a wide range of attacks, including denial of service attacks and probing. The system aims to detect new attacks as well.
This document discusses information system security. It defines information system security as collecting activities to protect information systems and stored data. It outlines four components of an IT security policy framework: policies, standards, procedures, and guidelines. It also discusses vulnerabilities, threats, attacks, and trends in attacks. Vulnerabilities refer to weaknesses, while threats use tools and scripts to launch attacks like reconnaissance, access, denial of service, and viruses/Trojans. Common attacks trends include malware, phishing, ransomware, denial of service, man-in-the-middle, cryptojacking, SQL injection, and zero-day exploits.
Supply chain attacks target software developers and suppliers by infecting legitimate applications to distribute malware. Attackers can compromise developer Git accounts to inject malware into repositories that get delivered to clients. They can also introduce vulnerable modules that aren't properly tested. This can lead to financial and personal data theft for customers of affected e-commerce sites, and legal issues for site owners and software vendors due to data breaches and loss of trust. Detecting malware involves scanning modules, servers, and developer systems using tools like YARA, LMD, and SYNK at various stages of the software development and delivery process.
A Modular Approach To Intrusion Detection in Homogenous Wireless NetworkIOSR Journals
This document discusses a modular approach to intrusion detection in homogeneous wireless networks. It begins by introducing wireless networks and the need for intrusion detection systems (IDS) due to security vulnerabilities. It then discusses different types of IDS, including signature-based detection that identifies known attacks, and anomaly-based detection that identifies deviations from normal behavior but can result in high false positives. The document proposes a modular approach combining advantages of signature-based and anomaly-based detection for high detection rates and low false positives. Requirements for IDS in wireless networks are also outlined.
Intrusion Detection System (IDS) is meant to be a software application which monitors the network or system activities and finds if any malicious operations occur. Tremendous growth and usage of internet raises concerns about how to protect and communicate the digital information in a safe manner. Nowadays, hackers use different types of attacks for getting the valuable information. Many intrusion detection techniques, methods and algorithms help to detect these attacks. This main objective of this paper
is to provide a complete study about the definition of intrusion detection, history, life cycle, types of intrusion detection methods, types of attacks, different tools and techniques, research needs, challenges and
applications.
Fundamentals of information systems security ( pdf drive ) chapter 1newbie2019
This document discusses the growth of the internet and increased connectivity of devices beyond just computers. It notes that as internet usage has increased, issues of privacy, data security, and protecting sensitive information have become more important for both personal and business use. The document provides an overview of common security concepts and terms to help understand how to prevent cyberattacks and secure sensitive data. It also includes a table summarizing several high-profile data breaches between 2013-2015 at companies like Target, Anthem, and Sony Pictures that compromised personal and financial information for millions of customers.
This presentation delves into the many cybersecurty risks that plague the healthcare industry and how these risks can be mitigated with the help of security solutions that Seqrite offers.
Mobile Ad hoc Networks (MANETs) are wireless networks consisted of mobile free nodes that can move anywhere at any time without the need to any fixed infrastructure or any centralized administration. In this category of networks existing nodes must rely on each other to play the role of routers or switches instead of using central ones. The self-organized nature of such environments made MANETs vulnerable against many security threats. As a result, providing security requirements in MANETs is one of the most interesting challenges in such a network. In this group of networks, the use of cryptographic solutions is one of the most interesting security issues. The importance of this scientific area in MANETs is more drastic by considering that mentioned schemes must be lightweight enough to be appropriate for resource constrained platforms in such environment. This paper has tried to represent the position of cryptographic issues in MANETs. Moreover, security issues in mobile Ad hoc networks beside of different classes of public key cryptosystems have been introduced.
“AI techniques in cyber-security applications”. Flammini lnu susec19Francesco Flammini
The document discusses using artificial intelligence techniques like Bayesian networks and event trees for cybersecurity applications. It describes how these techniques can help address issues with security operations centers being overwhelmed by too much information from various sensors and systems. Bayesian networks and event trees can help fuse data from different sources to detect threats more effectively. The document provides examples of how Bayesian networks can be built using historical threat data and customized for specific organizations. It also discusses how these models can be updated dynamically based on real-time data from systems.
Healthcare IT Security Threats & Ways to Defend ThemCheapSSLsecurity
Encryption is required under HIPAA to protect electronic personal healthcare information being transferred or stored. SSL encryption protects data in motion by encrypting connections between computers but other vulnerabilities need addressing. Healthcare organizations should educate employees, secure wireless networks, vet third parties, and limit potential network damage from breaches through measures like network segregation.
Symantec and ForeScout Delivering a Unified Cyber Security SolutionDLT Solutions
Tom Blauvelt from Symantec and Sean Telles and Chris Dullea from ForeScout share how both companies together can deliver a unified cyber security solution.
Intelligent Network Surveillance Technology for APT Attack DetectionsAM Publications,India
Recently, long-term, advanced cyber-attacks targeting a specific enterprise or organization have been occurring again. These attacks occur over a long period and bypass detection by security systems unlike the existing attack pattern. For such reason, they create problems such as delayed real-time response and detection after damages have already been incurred. This paper introduces the design of technology that applies real-time network traffic monitoring to detect unknown functional cyber-attack on the network. Specifically, the algorithm was verified and evaluated in terms of performance in an actual commercial environment. Cyber-attack detection performance is expected to be improved by enhancing the algorithm and processing large volumes of traffic
Machine learning approach to anomaly detection in cyber securityIAEME Publication
The document discusses using machine learning approaches for anomaly detection in cyber security, specifically for detecting spamming attacks. It proposes using an uphill decision tree algorithm to classify emails as legitimate or spam based on analyzing various semantics or components of the emails. A case study is presented that analyzes spam infection rates on top websites and countries from 2012 data. The uphill decision tree approach aims to more accurately detect anomalies and threats compared to traditional signature-based detection methods.
This document summarizes a research paper on anomaly detection using machine learning approaches. It discusses how anomaly detection techniques can be used to detect cyber attacks and malware infections. It proposes using an uphill decision tree algorithm for anomaly detection. The document provides background on anomaly detection and intrusion detection systems. It also reviews previous related work using statistical and machine learning models. Finally, it presents a prototype model for an anomaly detection system that uses an uphill decision tree algorithm to process audit data and detect anomalies by raising alarms.
An Analytical Study on Attacks and Threats in Cyber Security and its Evolving...ijtsrd
In today’s dynamic and technologically advanced world, the Internet has become one of the most innovative and rapidly growing technologies. With its rise, it has also become vulnerable to a significant increase in occurrences of cyber attacks, with detrimental effects. Typically, these cyber attacks are targeted at accessing, manipulating, or damaging confidential data, extracting users money, or extorting an organization’s or user’s private information. Sensitive information, whether intellectual property, financial data, confidential information, or other forms of private data are exposed to unauthorized access or disclosure, which can have adverse consequences. Protecting data has become one of the greatest obstacles today as cyber attacks are constantly escalating. Along with the growth of internet services and the advancement of information technology, the importance of cybersecurity is crucial. Cybersecurity aims to ensure that the security interests of the company and users assets are protected and preserved against relevant cyber threats in the digital world. The data and confidentiality of computing assets pertaining to the network of an organization are protected by cybersecurity. This paper mainly focuses on threats and issues in cybersecurity facing modern technologies. It also focuses on the latest cybersecurity strategies and developments that are transforming the face of cybersecurity. Omkar Veerendra Nikhal "An Analytical Study on Attacks and Threats in Cyber Security and its Evolving Trends on Modern Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38195.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/38195/an-analytical-study-on-attacks-and-threats-in-cyber-security-and-its-evolving-trends-on-modern-technologies/omkar-veerendra-nikhal
Intrusion Detection & Prevention Systems (IDPS) are crucial for protecting computers and detecting threats in real time. As threats have grown in the 21st century, IDPS have also evolved, with different types providing various protection functions. Effective IDPS not only detect and prevent attacks, but also log events, create reports on recent attacks, and provide detailed information. Detection methods include signature-based detection by comparing traffic to known attacks, anomaly-based detection by identifying deviations from normal behavior, and policy-based detection by enforcing allowed functions.
Augment Method for Intrusion Detection around KDD Cup 99 DatasetIRJET Journal
This document discusses augmenting methods for intrusion detection using the KDD Cup 99 dataset. It aims to improve detection accuracy and reduce false positives. The key points are:
- It analyzes detection precision and true positive rate (recall) for different attack classes in the KDD Cup 99 dataset to help improve dataset accuracy.
- Experimental results show the contribution of each attack class to recall and precision, which can help optimize the dataset to achieve highest accuracy with lowest false positives.
- The goal is to enhance testing of detection models and improve data quality to advance offline intrusion detection capabilities.
Automatic Intrusion Detection based on Artificial Intelligence Techniques: A ...IRJET Journal
This document provides a literature review on automatic intrusion detection systems based on artificial intelligence techniques. It discusses how machine learning algorithms like neural networks, decision trees, KNN, and SVM have been applied to develop intrusion detection systems. Both supervised and unsupervised learning techniques are investigated. The review finds that the NSL-KDD dataset is commonly used and that accuracy, precision, recall, AUC and F1 score are typical evaluation metrics. However, it notes that a limitation of classification-based approaches is the inability to detect novel or modified attack types. The document recommends future work focus on techniques that can identify anomalous intrusions.
Analysis of Artificial Intelligence Techniques for Network Intrusion Detectio...IIJSRJournal
With the rapid advancement of computer technology during the last couple of decades. Computer systems are commonly used in manufacturing, corporate, as well as other aspects of human living. As a result, constructing dependable infrastructures is a major challenge for IT managers. On the contrary side, this same rapid advancement of technology has created numerous difficulties in building reliable networks which are challenging tasks. There seem to be numerous varieties of attacks that affect the accessibility, authenticity, as well as secrecy of communications systems. In this paper, an in-depth and all-inclusive description of artificial intelligence methods used for the detection of network intrusions is discussed in detail.
PERFORMANCE EVALUATION OF MACHINE LEARNING ALGORITHMS FOR INTRUSION DETECTIO...sudhanshucvramanphd2
The escalation of hazards to safety and hijacking of digital networks are among the strongest perilous difficulties that must be addressed in the present day. Numerous safety procedures were set up to track and recognize any illicit activity on the network's infrastructure. IDS are the best way to resist and recognize intrusions on internet connections and digital technologies. To classify network traffic as normal or anomalous, Machine Learning (ML) classifiers are increasingly utilized. An IDS with machine learning increases the accuracy with which security attacks are detected. This paper focuses on intrusion detection systems (IDSs) analysis using ML techniques. IDSs utilizing ML techniques are efficient and precise at identifying network assaults. In data with large dimensional spaces, however, the efficacy of these systems degrades. Correspondingly, the case is essential to execute a feasible feature removal technique capable of getting rid of characteristics that have little effect on the classification process. In this paper, we analyze the KDD CUP-'99' intrusion detection dataset used for training and validating ML models. Then, we implement ML classifiers such as “Logistic Regression, Decision Tree, K- Nearest Neighbour, Naïve Bayes, Bernoulli Naïve Bayes, Multinomial Naïve Bayes, XG-Boost Classifier, Ada- Boost, Random Forest, SVM, Rocchio classifier, Ridge, Passive-Aggressive classifier, ANN besides Perceptron (PPN), the optimal classifiers are determined by comparing the results of Stochastic Gradient Descent and back- propagation neural networks for IDS”, Conventional categorization indicators, such as "accuracy, precision, recall, and the f1-measure", have been used to evaluate the performance of the ML classification algorithms.
DETERRING HACKING STRATEGIES VIA TARGETING SCANNING PROPERTIESIJNSA Journal
Network infrastructures have played important part in most daily communications for business industries, social networking, government sectors and etc. Despites the advantages that came from such functionalities, security threats have become a daily struggle. One major security threat is hacking. Consequently, security experts and researchers have suggested possible security solutions such as Firewalls, Intrusion Detection Systems (IDS), Intrusion Detection and Prevention Systems (IDP) and Honeynet. Yet, none of these solutions have proven their ability to completely address hacking. The reason behind that, there is a few researches that examine the behavior of hackers. This paper formally and practically examines in details the behavior of hackers and their targeted environments. Moreover, this paper formally examines the properties of one essential pre-hacking step called scanning and highlights its importance in developing hacking strategies. Also, it illustrates the properties of hacking that is common in most hacking strategies to assist security experts and researchers towards minimizing the risk of hack.
INTRUSION DETECTION SYSTEM USING CUSTOMIZED RULES FOR SNORTIJMIT JOURNAL
This document proposes an intrusion detection system using customized rules for the Snort tool to improve security. The system uses Wireshark to scan network traffic for anomalies, Snort to detect attacks using customized rulesets for faster response times, and Wazuh and Splunk to analyze log files. Rules are created using the Snorpy tool and added to Snort to monitor for specific attacks like ICMP ping impersonation and authentication attempts. When attacks are attempted, the system successfully detects them and logs the alerts. The integration of these tools provides low-cost intrusion detection capabilities with automated threat identification and faster response compared to existing Snort configurations.
NETWORK INTRUSION DETECTION AND COUNTERMEASURE SELECTION IN VIRTUAL NETWORK (...ijsptm
Intrusion in a network or a system is a problem today as the trend of successful network attacks continue to
rise. Intruders can explore vulnerabilities of a network system to gain access in order to deploy some virus
or malware such as Denial of Service (DOS) attack. In this work, a frequency-based Intrusion Detection
System (IDS) is proposed to detect DOS attack. The frequency data is extracted from the time-series data
created by the traffic flow using Discrete Fourier Transform (DFT). An algorithm is developed for
anomaly-based intrusion detection with fewer false alarms which further detect known and unknown attack
signature in a network. The frequency of the traffic data of the virus or malware would be inconsistent with
the frequency of the legitimate traffic data. A Centralized Traffic Analyzer Intrusion Detection System
called CTA-IDS is introduced to further detect inside attackers in a network. The strategy is effective in
detecting abnormal content in the traffic data during information passing from one node to another and
also detects known attack signature and unknown attack. This approach is tested by running the artificial
network intrusion data in simulated networks using the Network Simulator2 (NS2) software.
Network Intrusion Detection And Countermeasure Selection In Virtual Network (...ClaraZara1
Intrusion in a network or a system is a problem today as the trend of successful network attacks continue to rise. Intruders can explore vulnerabilities of a network system to gain access in order to deploy some virus or malware such as Denial of Service (DOS) attack. In this work, a frequency-based Intrusion Detection System (IDS) is proposed to detect DOS attack. The frequency data is extracted from the time-series data created by the traffic flow using Discrete Fourier Transform (DFT). An algorithm is developed for anomaly-based intrusion detection with fewer false alarms which further detect known and unknown attack signature in a network. The frequency of the traffic data of the virus or malware would be inconsistent with the frequency of the legitimate traffic data. A Centralized Traffic Analyzer Intrusion Detection System called CTA-IDS is introduced to further detect inside attackers in a network. The strategy is effective in detecting abnormal content in the traffic data during information passing from one node to another and also detects known attack signature and unknown attack. This approach is tested by running the artificial network intrusion data in simulated networks using the Network Simulator2 (NS2) software.
Intrusion Detection System (IDS) is meant to be a software application which monitors the network or system activities and finds if any malicious operations take place. Tremendous growth and practice of internet raises concerns about how to protect and communicate the digital data in a safe manner. Nowadays, hackers use different types of attacks for getting the valuable information. Many intrusion detection techniques, methods and algorithms assist to identify these attacks. This main objective of this paper is to provide a complete study about the description of intrusion detection, history, life cycle, types of intrusion detection methods, types of attacks, different tools and techniques, research needs, tasks and applications
Intrusion Detection System (IDS) is meant to be a software application which monitors the network or system activities and finds if any malicious operations take place. Tremendous growth and practice of internet raises concerns about how to protect and communicate the digital data in a safe manner. Nowadays, hackers use different types of attacks for getting the valuable information. Many intrusion detection techniques, methods and algorithms assist to identify these attacks. This main objective of this paper is to provide a complete study about the description of intrusion detection, history, life cycle, types of intrusion detection methods, types of attacks, different tools and techniques, research needs, tasks and applications
Fundamental Areas of Cyber Security on Latest Technologyijtsrd
Cyber Security has developed one of the biggest challenges of information technology in the present day. Cyber security consists of controlling physical access of the hardware, application, networks and protecting against harm that may come via networks. It is a mixture of processes, technologies and practices. The objective of cyber Security is to protect programs, application, networks, computers and data from attack. Moreover, various measures of cyber security is quite a very huge concern to many. This paper mainly focuses on challenges faced by cyber security on the latest technologies. It also focuses on the latest about cyber security techniques, ethics and the trends changing the face of cyber security. This paper mainly focuses on cyber Security and its fundamental elements on latest technologies. Aye Mya Sandar | Ya Min | Khin Myat Nwe Win "Fundamental Areas of Cyber Security on Latest Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26550.pdfPaper URL: https://www.ijtsrd.com/computer-science/computer-security/26550/fundamental-areas-of-cyber-security-on-latest-technology/aye-mya-sandar
The crime that involves and uses computer devices and Internet, is known as cybercrime. Cybercrime can be committed against an individual or a group it can also be committed against government and private organizations. It may be intended to harm someone’s reputation, physical harm, or even mental harm. Cyber security is a potential activity by which information and other communication systems are protected from and or defended against the unauthorized use or modification or exploitation or even theft. Likewise, cyber security is a well designed technique to protect computers, networks, different programs, personal data, etc., from unauthorized access. All sorts of data whether it is government, corporate, or personal need high security however, some of the data, which belongs to the government defense system, banks, defense research and development organization, etc. are highly confidential and even small amount of negligence to these data may cause great damage to the whole nation. Therefore, such data need security at a very high level. Gajendra Kumar Malviya "Cyber Crime and Cyber Security" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49888.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/49888/cyber-crime-and-cyber-security/gajendra-kumar-malviya
AI IN CYBERSECURITY: THE NEW FRONTIER OF DIGITAL PROTECTIONChristopherTHyatt
Artificial Intelligence (AI) fortifies cybersecurity by dynamically identifying and neutralizing cyber threats. With machine learning algorithms, AI analyzes patterns in real-time data, swiftly detecting anomalies and potential security breaches. This proactive approach enhances the overall defense mechanism, ensuring robust protection against evolving cyber threats in the ever-changing digital landscape.
Enhanced method for intrusion detection over kdd cup 99 datasetijctet
This document discusses an enhanced method for intrusion detection using the KDD Cup 99 dataset. It aims to improve the accuracy of the dataset by analyzing the contribution of different attack classes to metrics like true positive rate and precision. The study examines these evaluation metrics for an intrusion detection system to identify which attack classes most impact recall and precision. The goal is to help improve the quality of the KDD Cup 99 dataset to achieve higher accuracy with lower false positives.
Similar to An Assessment of Intrusion Detection System IDS and Data Set Overview A Comprehensive Review of Recent Works (20)
‘Six Sigma Technique’ A Journey Through its Implementationijtsrd
The manufacturing industries all over the world are facing tough challenges for growth, development and sustainability in today’s competitive environment. They have to achieve apex position by adapting with the global competitive environment by delivering goods and services at low cost, prime quality and better price to increase wealth and consumer satisfaction. Cost Management ensures profit, growth and sustainability of the business with implementation of Continuous Improvement Technique like Six Sigma. This leads to optimize Business performance. The method drives for customer satisfaction, low variation, reduction in waste and cycle time resulting into a competitive advantage over other industries which did not implement it. The main objective of this paper ‘Six Sigma Technique A Journey Through Its Implementation’ is to conceptualize the effectiveness of Six Sigma Technique through the journey of its implementation. Aditi Sunilkumar Ghosalkar "‘Six Sigma Technique’: A Journey Through its Implementation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64546.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64546/‘six-sigma-technique’-a-journey-through-its-implementation/aditi-sunilkumar-ghosalkar
Edge Computing in Space Enhancing Data Processing and Communication for Space...ijtsrd
Edge computing, a paradigm that involves processing data closer to its source, has gained significant attention for its potential to revolutionize data processing and communication in space missions. With the increasing complexity and data volume generated by modern space missions, traditional centralized computing approaches face challenges related to latency, bandwidth, and security. Edge computing in space, involving on board processing and analysis of data, offers promising solutions to these challenges. This paper explores the concept of edge computing in space, its benefits, applications, and future prospects in enhancing space missions. Manish Verma "Edge Computing in Space: Enhancing Data Processing and Communication for Space Missions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64541.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/64541/edge-computing-in-space-enhancing-data-processing-and-communication-for-space-missions/manish-verma
Dynamics of Communal Politics in 21st Century India Challenges and Prospectsijtsrd
Communal politics in India has evolved through centuries, weaving a complex tapestry shaped by historical legacies, colonial influences, and contemporary socio political transformations. This research comprehensively examines the dynamics of communal politics in 21st century India, emphasizing its historical roots, socio political dynamics, economic implications, challenges, and prospects for mitigation. The historical perspective unravels the intricate interplay of religious identities and power dynamics from ancient civilizations to the impact of colonial rule, providing insights into the evolution of communalism. The socio political dynamics section delves into the contemporary manifestations, exploring the roles of identity politics, socio economic disparities, and globalization. The economic implications section highlights how communal politics intersects with economic issues, perpetuating disparities and influencing resource allocation. Challenges posed by communal politics are scrutinized, revealing multifaceted issues ranging from social fragmentation to threats against democratic values. The prospects for mitigation present a multifaceted approach, incorporating policy interventions, community engagement, and educational initiatives. The paper conducts a comparative analysis with international examples, identifying common patterns such as identity politics and economic disparities. It also examines unique challenges, emphasizing Indias diverse religious landscape, historical legacy, and secular framework. Lessons for effective strategies are drawn from international experiences, offering insights into inclusive policies, interfaith dialogue, media regulation, and global cooperation. By scrutinizing historical epochs, contemporary dynamics, economic implications, and international comparisons, this research provides a comprehensive understanding of communal politics in India. The proposed strategies for mitigation underscore the importance of a holistic approach to foster social harmony, inclusivity, and democratic values. Rose Hossain "Dynamics of Communal Politics in 21st Century India: Challenges and Prospects" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64528.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/history/64528/dynamics-of-communal-politics-in-21st-century-india-challenges-and-prospects/rose-hossain
Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in...ijtsrd
Background and Objective Telehealth has become a well known tool for the delivery of health care in Saudi Arabia, and the perspective and knowledge of healthcare providers are influential in the implementation, adoption and advancement of the method. This systematic review was conducted to examine the current literature base regarding telehealth and the related healthcare professional perspective and knowledge in the Kingdom of Saudi Arabia. Materials and Methods This systematic review was conducted by searching 7 databases including, MEDLINE, CINHAL, Web of Science, Scopus, PubMed, PsycINFO, and ProQuest Central. Studies on healthcare practitioners telehealth knowledge and perspectives published in English in Saudi Arabia from 2000 to 2023 were included. Boland directed this comprehensive review. The researchers examined each connected study using the AXIS tool, which evaluates cross sectional systematic reviews. Narrative synthesis was used to summarise and convey the data. Results Out of 1840 search results, 10 studies were included. Positive outlook and limited knowledge among providers were seen across trials. Healthcare professionals like telehealth for its ability to improve quality, access, and delivery, save time and money, and be successful. Age, gender, occupation, and work experience also affect health workers knowledge. In Saudi Arabia, healthcare professionals face inadequate expert assistance, patient privacy, internet connection concerns, lack of training courses, lack of telehealth understanding, and high costs while performing telemedicine. Conclusions Healthcare practitioners telehealth perceptions and knowledge were examined in this systematic study. Its collection of concerned experts different personal attitudes and expertise would help enhance telehealths implementation in Saudi Arabia, develop its healthcare delivery alternative, and eliminate frequent problems. Badriah Mousa I Mulayhi | Dr. Jomin George | Judy Jenkins "Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in Saudi Arabia: A Systematic Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64535.pdf Paper Url: https://www.ijtsrd.com/medicine/other/64535/assess-perspective-and-knowledge-of-healthcare-providers-towards-elehealth-in-saudi-arabia-a-systematic-review/badriah-mousa-i-mulayhi
The Impact of Digital Media on the Decentralization of Power and the Erosion ...ijtsrd
The impact of digital media on the distribution of power and the weakening of traditional gatekeepers has gained considerable attention in recent years. The adoption of digital technologies and the internet has resulted in declining influence and power for traditional gatekeepers such as publishing houses and news organizations. Simultaneously, digital media has facilitated the emergence of new voices and players in the media industry. Digital medias impact on power decentralization and gatekeeper erosion is visible in several ways. One significant aspect is the democratization of information, which enables anyone with an internet connection to publish and share content globally, leading to citizen journalism and bypassing traditional gatekeepers. Another aspect is the disruption of conventional media industry business models, as traditional organizations struggle to adjust to the decrease in advertising revenue and the rise of digital platforms. Alternative business models, such as subscription models and crowdfunding, have become more prevalent, leading to the emergence of new players. Overall, the impact of digital media on the distribution of power and the weakening of traditional gatekeepers has brought about significant changes in the media landscape and the way information is shared. Further research is required to fully comprehend the implications of these changes and their impact on society. Dr. Kusum Lata "The Impact of Digital Media on the Decentralization of Power and the Erosion of Traditional Gatekeepers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64544.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64544/the-impact-of-digital-media-on-the-decentralization-of-power-and-the-erosion-of-traditional-gatekeepers/dr-kusum-lata
Online Voices, Offline Impact Ambedkars Ideals and Socio Political Inclusion ...ijtsrd
This research investigates the nexus between online discussions on Dr. B.R. Ambedkars ideals and their impact on social inclusion among college students in Gurugram, Haryana. Surveying 240 students from 12 government colleges, findings indicate that 65 actively engage in online discussions, with 80 demonstrating moderate to high awareness of Ambedkars ideals. Statistically significant correlations reveal that higher online engagement correlates with increased awareness p 0.05 and perceived social inclusion. Variations across colleges and a notable effect of college type on perceived social inclusion highlight the influence of contextual factors. Furthermore, the intersectional analysis underscores nuanced differences based on gender, caste, and socio economic status. Dr. Kusum Lata "Online Voices, Offline Impact: Ambedkar's Ideals and Socio-Political Inclusion - A Study of Gurugram District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64543.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64543/online-voices-offline-impact-ambedkars-ideals-and-sociopolitical-inclusion--a-study-of-gurugram-district/dr-kusum-lata
Problems and Challenges of Agro Entreprenurship A Studyijtsrd
Noting calls for contextualizing Agro entrepreneurs problems and challenges of the agro entrepreneurs and for greater attention to the Role of entrepreneurs in agro entrepreneurship research, we conduct a systematic literature review of extent research in agriculture entrepreneurship to overcome the study objectives of complications of agro entrepreneurs through various factors, Development of agriculture products is a key factor for the overall economic growth of agro entrepreneurs Agro Entrepreneurs produces firsthand large scale employment, utilizes the labor and natural resources, This research outlines the problems of Weather and Soil Erosions, Market price fluctuation, stimulates labor cost problems, reduces concentration of Price volatility, Dependency on Intermediaries, induces Limited Bargaining Power, and Storage and Transportation Costs. This paper mainly devoted to highlight Problems and challenges faced for the sustainable of Agro Entrepreneurs in India. Vinay Prasad B "Problems and Challenges of Agro Entreprenurship - A Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64540.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64540/problems-and-challenges-of-agro-entreprenurship--a-study/vinay-prasad-b
Comparative Analysis of Total Corporate Disclosure of Selected IT Companies o...ijtsrd
Disclosure is a process through which a business enterprise communicates with external parties. A corporate disclosure is communication of financial and non financial information of the activities of a business enterprise to the interested entities. Corporate disclosure is done through publishing annual reports. So corporate disclosure through annual reports plays a vital role in the life of all the companies and provides valuable information to investors. The basic objectives of corporate disclosure is to give a true and fair view of companies to the parties related either directly or indirectly like owner, government, creditors, shareholders etc. in the companies act, provisions have been made about mandatory and voluntary disclosure. The IT sector in India is rapidly growing, the trend to invest in the IT sector is rising and employment opportunities in IT sectors are also increasing. Therefore the IT sector is expected to have fair, full and adequate disclosure of all information. Unfair and incomplete disclosure may adversely affect the entire economy. A research study on disclosure practices of IT companies could play an important role in this regard. Hence, the present research study has been done to study and review comparative analysis of total corporate disclosure of selected IT companies of India and to put forward overall findings and suggestions with a view to increase disclosure score of these companies. The researcher hopes that the present research study will be helpful to all selected Companies for improving level of corporate disclosure through annual reports as well as the government, creditors, investors, all business organizations and upcoming researcher for comparative analyses of level of corporate disclosure with special reference to selected IT companies. Dr. Vaibhavi D. Thaker "Comparative Analysis of Total Corporate Disclosure of Selected IT Companies of India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64539.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64539/comparative-analysis-of-total-corporate-disclosure-of-selected-it-companies-of-india/dr-vaibhavi-d-thaker
The Impact of Educational Background and Professional Training on Human Right...ijtsrd
This study investigated the impact of educational background and professional training on human rights awareness among secondary school teachers in the Marathwada region of Maharashtra, India. The key findings reveal that higher levels of education, particularly a master’s degree, and fields of study related to education, humanities, or social sciences are associated with greater human rights awareness among teachers. Additionally, both pre service teacher training and in service professional development programs focused on human rights education significantly enhance teacher’s knowledge, skills, and competencies in promoting human rights principles in their classrooms. Baig Ameer Bee Mirza Abdul Aziz | Dr. Syed Azaz Ali Amjad Ali "The Impact of Educational Background and Professional Training on Human Rights Awareness among Secondary School Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64529.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64529/the-impact-of-educational-background-and-professional-training-on-human-rights-awareness-among-secondary-school-teachers/baig-ameer-bee-mirza-abdul-aziz
A Study on the Effective Teaching Learning Process in English Curriculum at t...ijtsrd
“One Language sets you in a corridor for life. Two languages open every door along the way” Frank Smith English as a foreign language or as a second language has been ruling in India since the period of Lord Macaulay. But the question is how much we teach or learn English properly in our culture. Is there any scope to use English as a language rather than a subject How much we learn or teach English without any interference of mother language specially in the classroom teaching learning scenario in West Bengal By considering all these issues the researcher has attempted in this article to focus on the effective teaching learning process comparing to other traditional strategies in the field of English curriculum at the secondary level to investigate whether they fulfill the present teaching learning requirements or not by examining the validity of the present curriculum of English. The purpose of this study is to focus on the effectiveness of the systematic, scientific, sequential and logical transaction of the course between the teachers and the learners in the perspective of the 5Es programme that is engage, explore, explain, extend and evaluate. Sanchali Mondal | Santinath Sarkar "A Study on the Effective Teaching Learning Process in English Curriculum at the Secondary Level of West Bengal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd62412.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/62412/a-study-on-the-effective-teaching-learning-process-in-english-curriculum-at-the-secondary-level-of-west-bengal/sanchali-mondal
The Role of Mentoring and Its Influence on the Effectiveness of the Teaching ...ijtsrd
This paper reports on a study which was conducted to investigate the role of mentoring and its influence on the effectiveness of the teaching of Physics in secondary schools in the South West Region of Cameroon. The study adopted the convergent parallel mixed methods design, focusing on respondents in secondary schools in the South West Region of Cameroon. Both quantitative and qualitative data were collected, analysed separately, and the results were compared to see if the findings confirm or disconfirm each other. The quantitative analysis found that majority of the respondents 72 of Physics teachers affirmed that they had more experienced colleagues as mentors to help build their confidence, improve their teaching, and help them improve their effectiveness and efficiency in guiding learners’ achievements. Only 28 of the respondents disagreed with these statements. With majority respondents 72 agreeing with the statements, it implies that in most secondary schools, experienced Physics teachers act as mentors to build teachers’ confidence in teaching and improving students’ learning. The interview qualitative data analysis summarized how secondary school Principals use meetings with mentors and mentees to promote mentorship in the school milieu. This has helped strengthen teachers’ classroom practices in secondary schools in the South West Region of Cameroon. With the results confirming each other, the study recommends that mentoring should focus on helping teachers employ social interactions and instructional practices feedback and clarity in teaching that have direct measurable impact on students’ learning achievements. Andrew Ngeim Sumba | Frederick Ebot Ashu | Peter Agborbechem Tambi "The Role of Mentoring and Its Influence on the Effectiveness of the Teaching of Physics in Secondary Schools in the South West Region of Cameroon" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64524.pdf Paper Url: https://www.ijtsrd.com/management/management-development/64524/the-role-of-mentoring-and-its-influence-on-the-effectiveness-of-the-teaching-of-physics-in-secondary-schools-in-the-south-west-region-of-cameroon/andrew-ngeim-sumba
Design Simulation and Hardware Construction of an Arduino Microcontroller Bas...ijtsrd
This study primarily focuses on the design of a high side buck converter using an Arduino microcontroller. The converter is specifically intended for use in DC DC applications, particularly in standalone solar PV systems where the PV output voltage exceeds the load or battery voltage. To evaluate the performance of the converter, simulation experiments are conducted using Proteus Software. These simulations provide insights into the input and output voltages, currents, powers, and efficiency under different state of charge SoC conditions of a 12V,70Ah rechargeable lead acid battery. Additionally, the hardware design of the converter is implemented, and practical data is collected through operation, monitoring, and recording. By comparing the simulation results with the practical results, the efficiency and performance of the designed converter are assessed. The findings indicate that while the buck converter is suitable for practical use in standalone PV systems, its efficiency is compromised due to a lower output current. Chan Myae Aung | Dr. Ei Mon "Design Simulation and Hardware Construction of an Arduino-Microcontroller Based DC-DC High-Side Buck Converter for Standalone PV System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64518.pdf Paper Url: https://www.ijtsrd.com/engineering/mechanical-engineering/64518/design-simulation-and-hardware-construction-of-an-arduinomicrocontroller-based-dcdc-highside-buck-converter-for-standalone-pv-system/chan-myae-aung
Sustainable Energy by Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadikuijtsrd
Energy becomes sustainable if it meets the needs of the present without compromising the ability of future generations to meet their own needs. Some of the definitions of sustainable energy include the considerations of environmental aspects such as greenhouse gas emissions, social, and economic aspects such as energy poverty. Generally far more sustainable than fossil fuel are renewable energy sources such as wind, hydroelectric power, solar, and geothermal energy sources. Worthy of note is that some renewable energy projects, like the clearing of forests to produce biofuels, can cause severe environmental damage. The sustainability of nuclear power which is a low carbon source is highly debated because of concerns about radioactive waste, nuclear proliferation, and accidents. The switching from coal to natural gas has environmental benefits, including a lower climate impact, but could lead to delay in switching to more sustainable options. “Carbon capture and storage” can be built into power plants to remove the carbon dioxide CO2 emissions, but this technology is expensive and has rarely been implemented. Leading non renewable energy sources around the world is fossil fuels, coal, petroleum, and natural gas. Nuclear energy is usually considered another non renewable energy source, although nuclear energy itself is a renewable energy source, but the material used in nuclear power plants is not. The paper addresses the issue of sustainable energy, its attendant benefits to the future generation, and humanity in general. Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadiku "Sustainable Energy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64534.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/64534/sustainable-energy/paul-a-adekunte
Concepts for Sudan Survey Act Implementations Executive Regulations and Stand...ijtsrd
This paper aims to outline the executive regulations, survey standards, and specifications required for the implementation of the Sudan Survey Act, and for regulating and organizing all surveying work activities in Sudan. The act has been discussed for more than 5 years. The Land Survey Act was initiated by the Sudan Survey Authority and all official legislations were headed by the Sudan Ministry of Justice till it was issued in 2022. The paper presents conceptual guidelines to be used for the Survey Act implementation and to regulate the survey work practice, standardizing the field surveys, processing, quality control, procedures, and the processes related to survey work carried out by the stakeholders and relevant authorities in Sudan. The conceptual guidelines are meant to improve the quality and harmonization of geospatial data and to aid decision making processes as well as geospatial information systems. The established comprehensive executive regulations will govern and regulate the implementation of the Sudan Survey Geomatics Act in all surveying and mapping practices undertaken by the Sudan Survey Authority SSA and state local survey departments for public or private sector organizations. The targeted standards and specifications include the reference frame, projection, coordinate systems, and the guidelines and specifications that must be followed in the field of survey work, processes, and mapping products. In the last few decades, there has been a growing awareness of the importance of geomatics activities and measurements on the Earths surface in space and time, together with observing and mapping the changes. In such cases, data must be captured promptly, standardized, and obtained with more accuracy and specified in much detail. The paper will also highlight the current situation in Sudan, the degree to which survey standards are used, the problems encountered, and the errors that arise from not using the standards and survey specifications. Kamal A. A. Sami "Concepts for Sudan Survey Act Implementations - Executive Regulations and Standards" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63484.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63484/concepts-for-sudan-survey-act-implementations--executive-regulations-and-standards/kamal-a-a-sami
Towards the Implementation of the Sudan Interpolated Geoid Model Khartoum Sta...ijtsrd
The discussions between ellipsoid and geoid have invoked many researchers during the recent decades, especially during the GNSS technology era, which had witnessed a great deal of development but still geoid undulation requires more investigations. To figure out a solution for Sudans local geoid, this research has tried to intake the possibility of determining the geoid model by following two approaches, gravimetric and geometrical geoid model determination, by making use of GNSS leveling benchmarks at Khartoum state. The Benchmarks are well distributed in the study area, in which, the horizontal coordinates and the height above the ellipsoid have been observed by GNSS while orthometric heights were carried out using precise leveling. The Global Geopotential Model GGM represented in EGM2008 has been exploited to figure out the geoid undulation at the benchmarks in the study area. This is followed by a fitting process, that has been done to suit the geoid undulation data which has been computed using GNSS leveling data and geoid undulation inspired by the EGM2008. Two geoid surfaces were created after the fitting process to ensure that they are identical and both of them could be counted for getting the same geoid undulation with an acceptable accuracy. In this respect, statistical operation played an important role in ensuring the consistency and integrity of the model by applying cross validation techniques splitting the data into training and testing datasets for building the geoid model and testing its eligibility. The geometrical solution for geoid undulation computation has been utilized by applying straightforward equations that facilitate the calculation of the geoid undulation directly through applying statistical techniques for the GNSS leveling data of the study area to get the common equation parameters values that could be utilized to calculate geoid undulation of any position in the study area within the claimed accuracy. Both systems were checked and proved eligible to be used within the study area with acceptable accuracy which may contribute to solving the geoid undulation problem in the Khartoum area, and be further generalized to determine the geoid model over the entire country, and this could be considered in the future, for regional and continental geoid model. Ahmed M. A. Mohammed. | Kamal A. A. Sami "Towards the Implementation of the Sudan Interpolated Geoid Model (Khartoum State Case Study)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63483.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63483/towards-the-implementation-of-the-sudan-interpolated-geoid-model-khartoum-state-case-study/ahmed-m-a-mohammed
Activating Geospatial Information for Sudans Sustainable Investment Mapijtsrd
Sudan is witnessing an acceleration in the processes of development and transformation in the performance of government institutions to raise the productivity and investment efficiency of the government sector. The development plans and investment opportunities have focused on achieving national goals in various sectors. This paper aims to illuminate the path to the future and provide geospatial data and information to develop the investment climate and environment for all sized businesses, and to bridge the development gap between the Sudan states. The Sudan Survey Authority SSA is the main advisor to the Sudan Government in conducting surveying, mappings, designing, and developing systems related to geospatial data and information. In recent years, SSA made a strategic partnership with the Ministry of Investment to activate Geospatial Information for Sudans Sustainable Investment and in particular, for the preparation and implementation of the Sudan investment map, based on the directives and objectives of the Ministry of Investment MI in Sudan. This paper comes within the framework of activating the efforts of the Ministry of Investment to develop technical investment services by applying techniques adopted by the Ministry and its strategic partners for advancing investment processes in the country. Kamal A. A. Sami "Activating Geospatial Information for Sudan's Sustainable Investment Map" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63482.pdf Paper Url: https://www.ijtsrd.com/engineering/information-technology/63482/activating-geospatial-information-for-sudans-sustainable-investment-map/kamal-a-a-sami
Educational Unity Embracing Diversity for a Stronger Societyijtsrd
In a rapidly changing global landscape, the importance of education as a unifying force cannot be overstated. This paper explores the crucial role of educational unity in fostering a stronger and more inclusive society through the embrace of diversity. By examining the benefits of diverse learning environments, the paper aims to highlight the positive impact on societal strength. The discussion encompasses various dimensions, from curriculum design to classroom dynamics, and emphasizes the need for educational institutions to become catalysts for unity in diversity. It highlights the need for a paradigm shift in educational policies, curricula, and pedagogical approaches to ensure that they are reflective of the diverse fabric of society. This paper also addresses the challenges associated with implementing inclusive educational practices and offers practical strategies for overcoming barriers. It advocates for collaborative efforts between educational institutions, policymakers, and communities to create a supportive ecosystem that promotes diversity and unity. Mr. Amit Adhikari | Madhumita Teli | Gopal Adhikari "Educational Unity: Embracing Diversity for a Stronger Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64525.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64525/educational-unity-embracing-diversity-for-a-stronger-society/mr-amit-adhikari
Integration of Indian Indigenous Knowledge System in Management Prospects and...ijtsrd
The diversity of indigenous knowledge systems in India is vast and can vary significantly between different communities and regions. Preserving and respecting these knowledge systems is crucial for maintaining cultural heritage, promoting sustainable practices, and fostering cross cultural understanding. In this paper, an overview of the prospects and challenges associated with incorporating Indian indigenous knowledge into management is explored. It is found that IIKS helps in management in many areas like sustainable development, tourism, food security, natural resource management, cultural preservation and innovation, etc. However, IIKS integration with management faces some challenges in the form of a lack of documentation, cultural sensitivity, language barriers legal framework, etc. Savita Lathwal "Integration of Indian Indigenous Knowledge System in Management: Prospects and Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63500.pdf Paper Url: https://www.ijtsrd.com/management/accounting-and-finance/63500/integration-of-indian-indigenous-knowledge-system-in-management-prospects-and-challenges/savita-lathwal
DeepMask Transforming Face Mask Identification for Better Pandemic Control in...ijtsrd
The COVID 19 pandemic has highlighted the crucial need of preventive measures, with widespread use of face masks being a key method for slowing the viruss spread. This research investigates face mask identification using deep learning as a technological solution to be reducing the risk of coronavirus transmission. The proposed method uses state of the art convolutional neural networks CNNs and transfer learning to automatically recognize persons who are not wearing masks in a variety of circumstances. We discuss how this strategy improves public health and safety by providing an efficient manner of enforcing mask wearing standards. The report also discusses the obstacles, ethical concerns, and prospective applications of face mask detection systems in the ongoing fight against the pandemic. Dilip Kumar Sharma | Aaditya Yadav "DeepMask: Transforming Face Mask Identification for Better Pandemic Control in the COVID-19 Era" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64522.pdf Paper Url: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/64522/deepmask-transforming-face-mask-identification-for-better-pandemic-control-in-the-covid19-era/dilip-kumar-sharma
Streamlining Data Collection eCRF Design and Machine Learningijtsrd
Efficient and accurate data collection is paramount in clinical trials, and the design of Electronic Case Report Forms eCRFs plays a pivotal role in streamlining this process. This paper explores the integration of machine learning techniques in the design and implementation of eCRFs to enhance data collection efficiency. We delve into the synergies between eCRF design principles and machine learning algorithms, aiming to optimize data quality, reduce errors, and expedite the overall data collection process. The application of machine learning in eCRF design brings forth innovative approaches to data validation, anomaly detection, and real time adaptability. This paper discusses the benefits, challenges, and future prospects of leveraging machine learning in eCRF design for streamlined and advanced data collection in clinical trials. Dhanalakshmi D | Vijaya Lakshmi Kannareddy "Streamlining Data Collection: eCRF Design and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63515.pdf Paper Url: https://www.ijtsrd.com/biological-science/biotechnology/63515/streamlining-data-collection-ecrf-design-and-machine-learning/dhanalakshmi-d
Understanding and Interpreting Teachers’ TPACK for Teaching Multimodalities i...Neny Isharyanti
Presented as a plenary session in iTELL 2024 in Salatiga on 4 July 2024.
The plenary focuses on understanding and intepreting relevant TPACK competence for teachers to be adept in teaching multimodality in the digital age. It juxtaposes the results of research on multimodality with its contextual implementation in the teaching of English subject in the Indonesian Emancipated Curriculum.
Delegation Inheritance in Odoo 17 and Its Use CasesCeline George
There are 3 types of inheritance in odoo Classical, Extension, and Delegation. Delegation inheritance is used to sink other models to our custom model. And there is no change in the views. This slide will discuss delegation inheritance and its use cases in odoo 17.
How to Add Colour Kanban Records in Odoo 17 NotebookCeline George
In Odoo 17, you can enhance the visual appearance of your Kanban view by adding color-coded records using the Notebook feature. This allows you to categorize and distinguish between different types of records based on specific criteria. By adding colors, you can quickly identify and prioritize tasks or items, improving organization and efficiency within your workflow.
Webinar Innovative assessments for SOcial Emotional SkillsEduSkills OECD
Presentations by Adriano Linzarini and Daniel Catarino da Silva of the OECD Rethinking Assessment of Social and Emotional Skills project from the OECD webinar "Innovations in measuring social and emotional skills and what AI will bring next" on 5 July 2024
Integrated Marketing Communications (IMC)- Concept, Features, Elements, Role of advertising in IMC
Advertising: Concept, Features, Evolution of Advertising, Active Participants, Benefits of advertising to Business firms and consumers.
Classification of advertising: Geographic, Media, Target audience and Functions.
Credit limit improvement system in odoo 17Celine George
In Odoo 17, confirmed and uninvoiced sales orders are now factored into a partner's total receivables. As a result, the credit limit warning system now considers this updated calculation, leading to more accurate and effective credit management.
How to Configure Time Off Types in Odoo 17Celine George
Now we can take look into how to configure time off types in odoo 17 through this slide. Time-off types are used to grant or request different types of leave. Only then the authorities will have a clear view or a clear understanding of what kind of leave the employee is taking.
Principles of Roods Approach!!!!!!!.pptxibtesaam huma
Principles of Rood’s Approach
Treatment technique used in physiotherapy for neurological patients which aids them to recover and improve quality of life
Facilitatory techniques
Inhibitory techniques
No, it's not a robot: prompt writing for investigative journalismPaul Bradshaw
How to use generative AI tools like ChatGPT and Gemini to generate story ideas for investigations, identify potential sources, and help with coding and writing.
A talk from the Centre for Investigative Journalism Summer School, July 2024
The Jewish Trinity : Sabbath,Shekinah and Sanctuary 4.pdfJackieSparrow3
we may assume that God created the cosmos to be his great temple, in which he rested after his creative work. Nevertheless, his special revelatory presence did not fill the entire earth yet, since it was his intention that his human vice-regent, whom he installed in the garden sanctuary, would extend worldwide the boundaries of that sanctuary and of God’s presence. Adam, of course, disobeyed this mandate, so that humanity no longer enjoyed God’s presence in the little localized garden. Consequently, the entire earth became infected with sin and idolatry in a way it had not been previously before the fall, while yet in its still imperfect newly created state. Therefore, the various expressions about God being unable to inhabit earthly structures are best understood, at least in part, by realizing that the old order and sanctuary have been tainted with sin and must be cleansed and recreated before God’s Shekinah presence, formerly limited to heaven and the holy of holies, can dwell universally throughout creation
Views in Odoo - Advanced Views - Pivot View in Odoo 17Celine George
In Odoo, the pivot view is a graphical representation of data that allows users to analyze and summarize large datasets quickly. It's a powerful tool for generating insights from your business data.
The pivot view in Odoo is a valuable tool for analyzing and summarizing large datasets, helping you gain insights into your business operations.
2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD35730 | Volume – 5 | Issue – 2 | January-February 2021 Page 980
malware security, firewalls or controlled IT, as part of a
robust safety strategy. But the position of IDS is rising
slowly. Hackers ' innovations for hiking a network and
administrators ' countertechnology in order to deal with
these attacks have outperformedthescopeandabilityofIDS.
It has been all but old-fashioned for an IDS to track threatsin
real time and zero day[6].
Intrusion detection systems (IDS) are among the latest
security tools. Based on their characteristics, I can classify
them into different types, such as their detection and
prevention strategies, their architecture, or the detection
range[7]. In fact, given their effectiveness,mostIDShavetwo
problems: the large number of false positives and negatives.
The false positives, the false alarms, are produced when the
IDS detects normal activities as intrusions, while the false
negatives correspond to non-detected attacks or intrusions,
and no warning is generated[8].
Three types of IDS-detected computer attacks exist:
(i) attacks by a scan device, (ii) attacks by a denial of service
and (iii) intrusion attacks[3]. Each of the three types of
computer attacks has distinct signaturesandbehavior-IDSis
scheduled for alarm evaluation, detection and detection.
2. Literature Review
In the literature, there are several techniques available to
detect the intrusion behavior. It is also very important to
maintain a high degree of protection and ensure that
communication between different organizations is secure
and trustworthy. Nonetheless, safe Internet and other
networks are still at risk of attack and misuse. Therefore,
intrusion detection systems have become a computer and
network protection feature that is essential. Different
methods in intrusion detections are used, but none of the
systems is still fully unreliable so far [9]. Intrusion detection
has been receiving a lot of attention among researchers in
recent times as it is commonly used to maintain protection
within a network. Here I present some of the intrusion
detection methods used.The fundamental task of the
detection system for intrusion is to identify network
behaviors as normal or abnormal while reducing
misclassification [10-12].
As stated by Owens and Levary, intruders'detectionsystems
have generally been established with the aid of expert
system technology. But in building systems, which are
difficult to deal with, lacking clear user interfaces and
unpleasant to use in real-world conditions, experts from the
Intrusion Detection Network (IDS) have been biased [13].
Numerous research papers on IDSs for technologies such as
mobile ad hoc networks (MANETs) [14-16], wireless sensor
networks (WSNs) [17-19], and cloud computing [20] and
cyber-physical systems (CPS) [21] have beenpublishedover
the past few years. Zarpelao et al. [22] provide an IDS
analysis.
They discuss IDS placement strategies and detection
methods in their survey article. I also pose common security
threats and how to identify those using IDSs. In addition,
they present a review of the common validation strategies
used in intrusion detection methods and discuss open
research issues and trends in the future.
In signature-based approaches, IDS detect attacks when the
device / network activity matches an IDS attack symbol. If
any device or network behavior is consistentwiththestored
patterns / signatures, an alert is activated. This approach is
very effective and efficient in the identification of known
threats and is easily understood by its process. Nonetheless,
in detecting new attacks and variants of known attacks this
strategy is failing, as a corresponding signature for such
attacks is still unknown[23-24].
The following advantages are provided by signature
detection methods: low false alarm rate, simple algorithms,
and easy database creation for attack signatures, quick
implementation and usually minimum computer resource
use.
Several drawbacks:
Problems in adding different forms of attack details
(when adding the attack signature database, as
appropriate).
New threats that are unknown cannot automatically be
identified. The Attack Signature database must be
continuously updated.
Maintaining IDS is necessarily linked to the detection
and patching of safety holes that are time consuming.
[23-24].
IDSs based on anomalies compare system behaviors at a
time with a normal behavioral profile and alarm when an
abnormality crosses a threshold. Nonetheless, something
that does not match a normal behavior is considered an
violation, and it is not a easy task to grasp the whole
spectrum of normal conduct. Generally the false positive
rates of this process are high [22, 25]. Researchers usually
construct the standard behavior profile with statistical
techniques or machine learning algorithms.
Arman Tajbakhsh suggested an IDS-based system for data
mining techniques. In the Association Based Classification
(ABC) system, the classification engine is, in turn, the core
part of the IDS [26].
The classification proposed using fuzzy association rules to
create classifiers. Such tests were used to assess the validity
of every new sample (which must be categorized) and to
establish the sample mark as the best corresponding class
rule collection. A procedure that reduces items that can be
included in the rules extracted is alsoproposedto reducethe
time the rule induction algorithm takes. The layout hasbeen
checked with the KDD-99 dataset. The findings indicate that
the overall detection rate of known attacks was high and the
false positive rate was low, even though the results of the
unknown attacks were not obvious. [26].
3. Methodology
I reviewed 20 works published in the last 16 years between
2002 and 2018 proposing IDS solutionsinthisstudy.Iuseda
taxonomy focused on features such as the placement
technique, the method of detectionandthethreatofsecurity.
4. Results and Discussion
Most published documents claiming to evaluate IDSs are
performed as comparisons rather than assessments.
Assessment should be viewed as assessing the extent at
which a given IDS achieves defined performance targets.
There are many problems in IDS and need to be solved, such
as poor detection capacity against unknown network attack,
high false alarm rate, and inadequate analytical capability
[10-12].
IDS systems distinguish between requirements. In the first
place, IDSs can be distinguished on the basis of the type of
operations, traffic, transactions or structures they control.
3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD35730 | Volume – 5 | Issue – 2 | January-February 2021 Page 981
IDSs can be divided into network,hostandapplication-based
groups of IDS. Network-based IDS are known as network-
based IDSs that monitor Network backbones and check for
intrusion signatures, while those on hosts identify,track and
host host-based IDSs.
Many IDSs only monitor applications directly and are
classified as application-based IDSs. (Such care is usually
restricted to broad applications like database systems,
content management systems, accounts, etc.)[27].
Different approaches of IDS control:
4.1. Network-based IDS Characteristics:
Network IDSs are capable of controlling and overloading a
large network with only few well-placed nodes or
computers. Network-based IDSs are mainly passive tools to
control the ongoing activity of the network without
excessive interference. It is easy to defendagainstattack and
can also not be detected by attackers; italsotakeslittleeffort
to mount and use existing networks. Network-based IDS
does not monitor and analyze all traffic on large, busy
networks and therefore neglect attacks during peak traffic.
In addition, network-based IDSs cannot track switch-based
(high-speed) networks effectively. Network based IDSs are
usually unable to analyze encrypted data or disclose attack
success or failure. Therefore, network IDSs require the
involvement of manual network managers to assess the
impact of reported attacks to a certain extent [28-29].
4.2. Host-based IDS Characteristics:
IDS can analyze the host activities in a high degree of detail;
it can periodically analyze the processes and/or users
engaged in malicious activities. Whereas they are each
capable of focusing on a single host, most domain-based IDS
systems have an agent console model where agents work on
(and monitor) individual hosting systems and report to a
single centralized server (so thata multi-hostconsolecanset
up, track and aggregate data). Host-based IDSs can detect
undetectable attacks on network-based IDS and accurately
calculate the outcome of attacks. Host-based IDSs use host-
based encryption services to explore encrypted transport,
data, storage and operation.
Data collection is per host; writing to logs or recording
activities requires network traffic and can reduce network
performance. Clever server-based attackers can also target
and disable host-based IDSs. DoS attacks can thwart server
based IDSs (because they can prevent traffic from reaching
host where it is running or because they may prevent
reporting on such attacks to a console otherwise in a
network). In particular, a host-basedIDSusestheserverthat
runs these Systems for process time, energy, memory and
other resources
5. Conclusion
Cyber threats are becoming morecomplexandposegrowing
challenges when it comes to successful intrusion detection.
Failure to prevent invading information, such as data
privacy, integrity and availability can undermine the
credibility of security services.
In order to protect data during transmission, network
security measures were required. Safety of the network
includes securing a network from unauthorized access and
risks. Network administrators / Information Security
experts have a duty to take proactive measures to protect
their networks from potential threats to security.
OrganizationsincorporateIntrusionDetectionSystems(IDS)
to detect unauthorized behaviors in the network or on
individual machines. Detection of intrusionhasbeenstudied
for nearly 20 years. Intrusion Detection Systems track
malicious/unauthorized network activities, record
information on such activities / send alerts, take steps to
stop them / drop packets.
References
[1] Ablon L, Libicki MC, Golay AA. Marketsforcybercrime
tools and stolen data: Hackers' bazaar. Rand
Corporation; 2014.
[2] Awan JH, Memon S, Khan RA, Noonari AQ, Hussain Z,
Usman M. Security strategies to overcome cyber
measures, factors and barriers. Eng. Sci. Technol. Int.
Res. J. 2017; 1(1):51-8.
[3] Anderson JP. Computer security threat monitoring
and surveillance.Technical Report,JamesP.Anderson
Company. 1980.
[4] Chen Q, Abdelwahed S, Erradi A. A model-based
validated autonomic approach to self-protect
computing systems. IEEE Internet of things Journal.
2014; 1(5):446-60.
[5] Ashoor AS, Gore S. Importance of intrusion detection
system (IDS). International Journal of Scientific and
ngineering Research. 2011; 2(1):1-4.
[6] Jabez J, Muthukumar B. Intrusion detection system
(IDS): anomaly detection using outlier detection
approach. Procedia Computer Science. 2015; 48:338-
46.
[7] Debar, H., and Jouni V. "Intrusion detection:
Introduction to intrusion detection and security
information management." Foundations of security
analysis and design III. Springer, Berlin, Heidelberg,
2005. 207-236.
[8] Debar, H., Marc D., and Andreas W. "IN Revised
Taxonomy Heart Intrusion Detection Systems."
Annals of the Telecommunications, Flight 55: 7-8.
[9] Kadam PU, Deshmukh M. Various approaches for
intrusion detection system: an overview.
International Journal of Innovative Research in
Computer and Communication Engineering. 2014
Nov; 2(11).
[10] Wilkison M. IDFAQ: how to evaluate network
intrusion detection systems. Retrieved from SANS
TechnologyInstitute:https://www.sans.org/security-
resources/idfaq/how-toevaluate-network-intrusion-
detection-systems/8/10. 2002.
[11] Mohammadpour L, Hussain M, Aryanfar A, Raee VM,
Sattar F. Evaluating performance of intrusion
detection system using support vector machines.
International Journal of Security and Its Applications.
2015 Sep; 9(9):225-34.
[12] Kuang F, Xu W, Zhang S. A novel hybrid KPCA and
SVM with GA model for intrusion detection. Applied
Soft Computing. 2014 May 1; 18:178-84.
[13] Peiravi A. Application of string matching in Internet
Security and Reliability. Marsland Press Journal of
American Science. 2010; 6(1):25-33.
4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD35730 | Volume – 5 | Issue – 2 | January-February 2021 Page 982
[14] Mishra A, Nadkarni K, Patcha A. Intrusiondetectionin
wireless ad hoc networks. IEEE wireless
communications. 2004; 11(1):48-60.
[15] Anantvalee T, Wu J. A survey on intrusiondetectionin
mobile ad hoc networks. InWireless Network
Security. Springer, Boston, MA. 2007 (pp. 159-180).
[16] Kumar S, Dutta K. Intrusion detection in mobile ad
hoc networks: techniques, systems, and future
challenges. Security and Communication Networks.
2016 Sep 25; 9(14):2484-556.
[17] Farooqi AH, Khan FA. Intrusion detection systems for
wireless sensor networks: A survey. In International
ConferenceonFutureGenerationCommunicationand
Networking. Springer, Berlin, Heidelberg. 2009; pp.
234-241.
[18] Abduvaliyev A, Pathan AS, Zhou J, Roman R, Wong
WC. On the vital areas of intrusion detection systems
in wireless sensor networks. IEEE Communications
Surveys & Tutorials. 2013; 15(3):1223-37.
[19] Butun I, Morgera SD, Sankar R. A survey of intrusion
detection systems in wireless sensor networks. IEEE
communications surveys & tutorials. 2013;
16(1):266-82.
[20] Modi C, Patel D, Borisaniya B, Patel H, Patel A,
Rajarajan M. A survey of intrusion detection
techniques in cloud. Journal ofnetwork andcomputer
applications. 2013; 36(1):42-57.
[21] Mitchell R, Chen IR. A survey of intrusion detection
techniques for cyber-physical systems. ACM
Computing Surveys (CSUR). 2014 Apr 1; 46(4):55.
[22] Zarpelão BB, Miani RS, Kawakani CT,deAlvarenga SC.
A survey of intrusion detection in Internet of Things.
Journal of Network andComputerApplications.2017;
84:25-37.
[23] Vacca, J. Computer and Information Security
Handbook. Morgan Kaufmann, Amsterdam, 2013.
[24] Liao HJ, Lin CH, Lin YC, Tung KY. Intrusion detection
system: A comprehensive review. Journal of Network
and Computer Applications. 2013; 36(1):16-24.
[25] Scarfone, K. and Mell, P. “Guide to intrusion detection
and prevention systems (IDPS)”, Technical report,
National Institute of Standards and Technology,
Special Publication, 2007; 80-94.
[26] Tajbakhsh A, Rahmati M, Mirzaei A. Intrusion
detection using fuzzy association rules. Applied Soft
Computing. 2009; 9(2):462-9.
[27] Jyothsna VV, Prasad VR, Prasad KM. A review of
anomaly based intrusion detection systems.
International Journal of Computer Applications.2011
Aug; 28(7):26-35.
[28] Kreibich C, Handley M, Paxson V. Network intrusion
detection: Evasion, traffic normalization, and end-to-
end protocol semantics. InProc. USENIX Security
Symposium 2001 (Vol. 2001).
[29] Ashour A. importance of Intrusion Detection System
(IDS). International Journal of Scientific Engineering
Research, 2005; 1-7.