The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
REAL-TIME INTRUSION DETECTION SYSTEM FOR BIG DATAijp2p
The objective of the proposed system is to integrate the high volume of data along with the important
considerations like monitoring a wide array of heterogeneous security. When a real time cyber attack
occurred, the Intrusion Detection System automatically store the log in distributed environment and
monitor the log with existing intrusion dictionary. At the same time the system will check and categorize the
severity of the log to high, medium, and low respectively. After the categorization, the system will
automatically take necessary action against the user-unit with respect to the severity of the log. The
advantage of the system is that it utilize anomaly detection, evaluates data and issue alert message or
reports based on abnormal behaviour.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
DYNAMIC IDP SIGNATURE PROCESSING BY FAST ELIMINATION USING DFAIJNSA Journal
Intrusion Detection & Prevention Systems generally aims at detecting / preventing attacks against Information systems and networks. The basic task of IDPS is to monitor network & system traffic for any malicious packets/patterns and hence to prevent any unwarranted incidents which leads the systems to insecure state. The monitoring is done by checking each packet for its validity against the signatures formulated for identified vulnerabilities. Since, signatures are the heart & soul of an Intrusion Detection and Prevention System (IDPS), we, in this paper, discuss two methodologies we adapted in our research effort to improve the current Intrusion Detection and Prevention (IDP) systems. The first methodology RUDRAA is for formulating, verifying & validating the potential signatures to be used with IDPS. The second methodology DSP-FED is aimed at processing the signatures in less time with our proposed fast elimination method using DFA. The research objectives of this project are 1) To formulate & process potential IPS signatures to be used with Intrusion prevention system. 2) To propose a DFA based approach for signature processing which, upon a pattern match, could process the signatures faster else could eliminate it efficiently if not matched
Survey on classification techniques for intrusion detectioncsandit
Intrusion detection is the most essential component
in network security. Traditional Intrusion
Detection methods are based on extensive knowledge
of signatures of known attacks. Signature-
based methods require manual encoding of attacks by
human experts. Data mining is one of the
techniques applied to Intrusion Detection that prov
ides higher automation capabilities than
signature-based methods. Data mining techniques suc
h as classification, clustering and
association rules are used in intrusion detection.
In this paper, we present an overview of
intrusion detection, KDD Cup 1999 dataset and detai
led analysis of different classification
techniques namely Support vector Machine, Decision
tree, Naïve Bayes and Neural Networks
used in intrusion detection.
Wireless Security Needs For Enterprisesshrutisreddy
This document discusses improving wireless security for enterprise/corporate users compared to home users. It analyzes security threats like encryption attacks and outlines techniques like WEP, WPA, and WPA2. The key points are:
1) Wireless networks are vulnerable to attacks using tools like AirSnort but techniques like WPA2 with AES encryption provide stronger security.
2) Corporate networks require robust security as they contain sensitive customer data, while basic techniques like WEP may suffice for home networks.
3) The document recommends home users enable security settings and use WPA-PSK encryption to protect their wireless networks.
With the growth of computer networking, electronic commerce and web services, security networking systems have become very important to protect infomation and networks againts malicious usage or attacks. In this report, it is designed an Intrusion Detection System using two artificial neural networks: one for Intrusion Detection and the another for Attack Classification.
Network Forensics is scientifically proven technique to accumulate, perceive, identify, examine, associate, analyse and document digital evidence from multiple systems for the purpose of uncovering the fact of attacks and other problem incident as well as performing the action to recover from the attack. Many systems are proposed for designing the network forensic systems. In this paper we have prepared comparative analysis of various models based on different techniques.
IMPROVED IDS USING LAYERED CRFS WITH LOGON RESTRICTIONS AND MOBILE ALERTS BAS...IJNSA Journal
With the ever increasing number and diverse type of attacks, including new and previously unseen attacks, the effectiveness of an Intrusion Detection System is very important. Hence there is high demand to reduce the threat level in networks to ensure the data and services offered by them to be more secure. In this paper we developed an effective test suite for improving the efficiency and accuracy of an intrusion detection system using the layered CRFs. We set up different types of checks at multiple levels in each layer. Our framework examines various attributes at every layer in order to effectively identify any breach of security. Once the attack is detected, it is intimated through mobile phone to the system administrator for safeguarding the server system. We established experimentally that the layered CRFs can thus be more effective in detecting intrusions when compared with the other previously known techniques.
Survey on Host and Network Based Intrusion Detection SystemEswar Publications
With invent of new technologies and devices, Intrusion has become an area of concern because of security issues, in the ever growing area of cyber-attack. An intrusion detection system (IDS) is defined as a device or software application which monitors system or network activities for malicious activities or policy violations. It produces reports to a management station [1]. In this paper we are mainly focused on different IDS concepts based on Host and Network systems.
Analysis and Design for Intrusion Detection System Based on Data MiningPritesh Ranjan
This document discusses using data mining techniques to improve intrusion detection systems (IDS). It begins by introducing computer network risks and limitations of existing IDS approaches. It then discusses using data mining algorithms like ID3, k-means clustering, and Apriori pattern mining within a hybrid IDS framework. The framework includes sensors to collect host and network data, a data warehouse for storage, and an analysis engine using misuse detection, anomaly detection and data mining algorithms to detect intrusions. It concludes that data mining allows IDS to detect both known and unknown attacks more efficiently.
Layered Approach for Preprocessing of Data in Intrusion Prevention SystemsEditor IJCATR
Due to extensive growth of the Internet and increasing availability of tools and methods for intruding and attacking
networks, intrusion detection has become a critical component of network security parameters. TCP/IP protocol suite is the defacto
standard for communication on the Internet. The underlying vulnerabilities in the protocols is the root cause of intrusions. Therefor
Intrusion detection system becomes an important element in network security that controls real time data and leads to huge
dimensional problem. Processing large number of packets and data in real time is very difficult and costly. Therefor data preprocessing
is necessary to remove redundant and unwanted information from packets and clean network data. Here, we are focusing on
two important aspects of intrusion detection; one is accuracy and other is performance. The layered approach of TCP/IP model can be
applied to packet pre-processing to achieve early and faster intrusion detection. Motivation for the paper comes from the large impact
data preprocessing has on the accuracy and capability of anomaly-based NIPS. In this paper it is demonstrated that high attack
detection accuracy can be achieved by using layered approach for data preprocessing in Internet. To reduce false positive rate and to
increase efficiency of detection, the paper proposed framework for preprocessing in intrusion prevention system. We experimented
with real time network traffic as well as he KDDcup99 dataset for our research.
TACTiCS_WP Security_Addressing Security in SDN EnvironmentSaikat Chaudhuri
This document discusses addressing security concerns in SDN environments. It proposes an approach using an application on the SDN controller to monitor alerts from an IDS, analyze network traffic samples, and automate blocking of malicious flows. The application would function similarly to a security operations center (SOC) by correlating security events and taking action. The implementation is demonstrated using the OpenDaylight controller and Mininet virtual network, with SNORT for intrusion detection and sFlow for traffic sampling.
An Extensive Survey of Intrusion Detection SystemsIRJET Journal
This document summarizes an extensive survey of intrusion detection systems. It discusses the general architecture of IDS, including host-based and network-based systems. It describes different types of attacks (e.g. DoS, probing, user-to-root) and defenses. It analyzes previous work applying data mining techniques like machine learning to improve detection rates and reduce false alarms. A key problem is the massive number of false alarms that overburden security managers; the document aims to investigate solutions to lower the false alarm rate so that real threats are not missed.
Detection of Rogue Access Point in WLAN using Hopfield Neural Network IJECEIAES
The serious issue in the field of wireless communication is the security and how an organization implements the steps against security breach. The major attack on any organization is Man in the Middle attack which is difficult to manage. This attack leads to number of unauthorized access points, called rogue access points which are not detected easily. In this paper, we proposed a Hopfield Neural Network approach for an automatic detection of these rogue access points in wireless networking. Here, we store the passwords of the authentic devices in the weight matrix format and match the patterns at the time of login. Simulation experiment shows that this method is more secure than the traditional one in WLAN.
As the Supervisory Control and Data Acquisition (SCADA) system are deployed in infrastructures which are critical to the survival of a nation, they have emerged as a potential terrain for cyber-war, thus attracting the considered attention of ‘nation-states’. The analysis of worms like ‘stuxnet’ ‘flame’ and ‘duqu’ reveals the hand of a ‘nation-state’ in their design and deployment. Hence, the necessity to understand various issues in the defence of SCADA systems arises. The forensics of the SCADA system provide deep insight into the design and deployment of the worm (the malware) once the system is attacked. This is precisely the scope of this essay.
Intrusion Detection Systems (IDS) monitor network traffic and system activities for malicious activities or policy violations. IDS can be classified as anomaly-based, signature-based, host-based or network-based. Anomaly-based IDS detect novel attacks but generate many false alarms, while signature-based IDS detect known attacks but miss novel ones. Future IDS aim to integrate network and host-based detection and detect novel attacks rather than just specific signatures. IDS help secure networks from intrusions but also have drawbacks like false alarms, inability to detect new threats, and complexity.
Seminar Report | Network Intrusion Detection using Supervised Machine Learnin...Jowin John Chemban
Seminar Report : Network Intrusion Detection using Supervised Machine Learning Technique with Feature Selection
By:
Jowin John Chemban (jowinchemban@gmail.com)
HGW16CS022 (2016-2020 Batch)
S7 B.Tech Computer Science Engineering
Holy Grace Academy of Engineering, Mala
Date : November 2019
This document summarizes and evaluates techniques for identifying adversary attacks in wireless sensor networks. It begins by describing common types of attacks and issues with cryptographic identification methods. It then evaluates existing localization techniques like Received Signal Strength (RSS) and spatial correlation analysis. Specifically, it proposes the Generalized Model for Attack Detection (GMFAD) which uses Partitioning Around Medoids (PaM) clustering on RSS readings to detect multiple attackers. It also presents the Coherent Detection and Localization Model (CDAL-M) which integrates PaM with localization algorithms like RADAR and Bayesian networks to determine attacker locations. The document analyzes these techniques' effectiveness at detecting and localizing multiple adversary attackers in wireless sensor networks.
Team research paper and project on network vulnerabilities with multiple attacks and defesnses:
Cybersecurity
-For this project, our class was paired with teams to attempt to find vulnerabilities in other teams networks and to successfully beach their network.
-My role in this group was to help breach other team vulnerabilities through different attacks like responder attacks, honeypots, etc.
-The main challenges of this project were trying to find the vulnerabilities successfully, as the whole team had troubles with each of our different attacks and defenses.
-We learned how to use cybersecurity tools to help find vulnerabilities in networks and how to protect against them better. For example, in the honeypot we used we deployed it to port 80, when the attacker tried to access our fake server we were notified. We also deployed palto alto firewall to create our private and secure network. For an attack, we also used password crackers like john the ripper. This project taught us how to breach networks as a team.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
1. The document describes the development of an automatic welding and inspection system for nuts welded on support hinges using machine vision. The system aims to improve over manual inspection by reducing variability and costs.
2. The system uses a vision system and conveyor belt to automatically capture images of welded parts and identify defects like missing or eccentrically placed nuts using template matching algorithms. An actuator module transfers parts between welding and inspection stages.
3. The study presents the system design and algorithm development including template creation, matching approaches, and setting inspection thresholds to minimize false acceptance/rejection. Experimental results demonstrate the system's ability to accurately detect different defect types in welded parts.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
The International Journal of Engineering and Science (The IJES)theijes
This document summarizes a study on the socio-economic impact of mining operations in the Jamuna Kotma Coal Field region of Anuppur district, Madhya Pradesh, India. The study used participatory field methods and Kendall's ranking coefficient method to categorize villages into different development regions based on social, economic, and demographic indicators. Very high development regions had more schools, electricity access, and agricultural development due to mining activities. However, development was not equal across villages. The study found regional disparities existed in 1991 and 2001, with some villages having very low development. The authors conclude attention must be paid to less developed regions to reduce disparities over time.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Optimized Intrusion Detection System using Deep Learning Algorithmijtsrd
A method and a system for the detection of an intrusion in a computer network compare the network traffic of the computer network at multiple different points in the network. In an uncompromised network the network traffic monitored at these two different points in the network should be identical. A network intrusion detection system is mostly place at strategic points in a network, so that it can monitor the traffic traveling to or from different devices on that network. The existing Software Defined Network SDN proposes the separation of forward and control planes by introducing a new independent plane called network controller. Machine learning is an artificial intelligence approach that focuses on acquiring knowledge from raw data and, based at least in part on the identified flow, selectively causing the packet, or a packet descriptor associated with the packet. The performance is evaluated using the network analysis metrics such as key generation delay, key sharing delay and the hash code generation time for both SDN and the proposed machine learning SDN. Prof P. Damodharan | K. Veena | Dr N. Suguna "Optimized Intrusion Detection System using Deep Learning Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21447.pdf
Paper URL: https://www.ijtsrd.com/engineering/other/21447/optimized-intrusion-detection-system-using-deep-learning-algorithm/prof-p-damodharan
This document discusses securing healthcare networks against cyber attacks. It proposes using intrusion detection systems to continuously monitor networks, firewalls to ensure endpoint devices comply with security policies, and biometrics for identity-based network access control. This would help protect patient privacy by safeguarding electronic health records and enhancing the security of hospital networks. The growing adoption of electronic records and devices in healthcare has increased risks of attacks that could intercept patient data or take over entire hospital networks. Strong network security measures are needed to address these risks.
Computer networks connect devices through communication systems. Network security aims to protect information and allow authorized access. It involves authentication of users, monitoring network traffic for intrusions, and other strategies. Intrusion detection systems monitor for suspicious activity and notify administrators. There are different types of intrusion detection including network-based and host-based systems. Penetration testing evaluates security by simulating attacks. Cryptography also helps secure networks through techniques like public key encryption, hashing, and key exchange algorithms.
INTERNAL SECURITY ON AN IDS BASED ON AGENTScscpconf
The document describes a proposed hierarchical intrusion detection system (IDS) based on agents. Key points:
1. The IDS uses a multi-agent approach with different agent types (collectors, transceivers, monitors) to distribute monitoring tasks without affecting system performance.
2. Internal security techniques are implemented to verify the identity and integrity of agents, such as using a matrix of marks and hash functions to check agents.
3. The IDS was prototyped using the BESA multi-agent platform and tested for its ability to securely detect intrusions in an agent-based system.
Internal security on an ids based on agentscsandit
The document describes a proposed hierarchical intrusion detection system (IDS) based on agents. Key points:
1. The IDS uses a multi-agent approach with different agent types (collectors, transceivers, monitors) to distribute monitoring tasks without affecting system performance.
2. Internal security techniques are implemented to verify the identity and integrity of agents, such as using a matrix of marks and hash functions to check agents.
3. The IDS was prototyped using the BESA multi-agent platform and can detect attacks through signature matching and event correlation across the agent network.
Intrusion Detection Systems By Anamoly-Based Using Neural NetworkIOSR Journals
To improve network security different steps has been taken as size and importance of the network has
increases day by day. Then chances of a network attacks increases Network is mainly attacked by some
intrusions that are identified by network intrusion detection system. These intrusions are mainly present in data
packets and each packet has to scan for its detection. This paper works to develop a intrusion detection system
which utilizes the identity and signature of the intrusion for identifying different kinds of intrusions. As network
intrusion detection system need to be efficient enough that chance of false alarm generation should be less,
which means identifying as a intrusion but actually it is not an intrusion. Result obtained after analyzing this
system is quite good enough that nearly 90% of true alarms are generated. It detect intrusion for various
services like Dos, SSH, etc by neural network
The document proposes a security model for wireless sensor networks using zero knowledge protocol. It addresses security threats like cloning attacks, man-in-the-middle attacks, and replay attacks. The model uses a unique fingerprint for each node based on its neighboring nodes to detect cloning. It also uses zero knowledge protocol for sensor nodes to verify authenticity without transmitting cryptographic information, preventing man-in-the-middle and replay attacks. The paper analyzes the performance and security of the proposed model.
Banking and Modern Payments System Security AnalysisCSCJournals
Cyber-criminals have benefited from on-line banking (OB), regardless of the extensive research on financial cyber-security. To better be prepared for what the future might bring, we try to predict how hacking tools might evolve. We briefly survey the state-of-the-art tools developed by black- hat hackers and conclude that they could be automated dramatically. To demonstrate the feasibility of our predictions and prove that many two-factor authentication schemes can be bypassed, we have analyzed banking and modern payments system security.
In this research we will review different payment protocols and security methods that are being used to run banking systems. We will survey some of the popular systems that are being used today, with a deeper focus on the Chips, cards, NFC, authentication etc. In addition, we will also discuss the weaknesses in the systems that can compromise the customer's trust.
Include at least 250 words in your posting and at least 250 words inmaribethy2y
Include at least 250 words in your posting and at least 250 words in your reply. Indicate at least one source or reference in your original post. Please see syllabus for details on submission requirements.
Module 1 Discussion Question
Search "scholar.google.com" for a company, school, or person that has been the target of a network
or system intrusion? What information was targeted? Was the attack successful? If so, what changes
were made to ensure that this vulnerability was controlled? If not, what mechanisms were in-place to protect against the intrusion.
Reply-1(Shravan)
Introduction:
Interruption location frameworks (IDSs) are programming or equipment frameworks that robotize the way toward observing the occasions happening in a PC framework or system, examining them for indications of security issues. As system assaults have expanded in number and seriousness in the course of recent years, interruption recognition frameworks have turned into an essential expansion to the security foundation of generally associations. This direction archive is planned as a preliminary in interruption recognition, created for the individuals who need to comprehend what security objectives interruption location components serve, how to choose and design interruption discovery frameworks for their particular framework and system situations, how to deal with the yield of interruption identification frameworks, and how to incorporate interruption recognition capacities with whatever remains of the authoritative security foundation. References to other data sources are likewise accommodated the peruse who requires particular or more point by point guidance on particular interruption identification issues.
In the most recent years there has been an expanding enthusiasm for the security of process control and SCADA frameworks. Moreover, ongoing PC assaults, for example, the Stunt worm, host appeared there are gatherings with the inspiration and assets to viably assault control frameworks.
While past work has proposed new security components for control frameworks, few of them have investigated new and in a general sense distinctive research issues for anchoring control frameworks when contrasted with anchoring conventional data innovation (IT) frameworks. Specifically, the complexity of new malware assaulting control frameworks - malware including zero-days assaults, rootkits made for control frameworks, and programming marked by confided in declaration specialists - has demonstrated that it is exceptionally hard to avert and identify these assaults dependent on IT framework data.
In this paper we demonstrate how, by joining information of the physical framework under control, we can distinguish PC assaults that change the conduct of the focused on control framework. By utilizing information of the physical framework we can center around the last goal of the assault, and not on the specific instruments of how vulnerabilities are misused, and how ...
Nowadays maintaining security in the networking domain is very important and essential since the network is hacked by the unauthorized people. There are various strategies and mechanism have been applied which provide the security to some extent. Most of these security mechanisms principles are similar to encryption and firewall. Even though this mechanism provides security, but these strategies are failed to detect the intrusions in which there is a need for development of new technology and it is known as Intrusion detection system. The Intrusion detection systems are used to identify the problems like unauthorized use, misuse and abuse of computer networking systems. Outside attackers are not only the problem, the threat of authorized users misusing and abusing their privileges is an equally pressing concern. Intrusion detection systems are used to analyze the event occurrence in a system with the goal to indicate security issues. An intrusion detection system display networked units and appears for anomalous or malicious conduct within the patterns of exercise within the audit stream.This paper studied the basic concepts of intrusion detection, its need, components and challenges.
A CASE STUDY ON VARIOUS NETWORK SECURITY TOOLSKatie Robinson
Network security tools play an important role in cybersecurity. The document discusses various network security tools including vulnerability scanners like Nessus, packet sniffers like Wireshark, password crackers like John the Ripper, honeypots, and wireless security tools like NetStumbler. It provides an overview of the most popular tools, how they work, and what features they provide to enhance network security through activities like vulnerability detection, packet analysis, password cracking, and monitoring of network traffic. The top five tools discussed are Wireshark, Nessus, Snort, John the Ripper, and NetStumbler.
Self Monitoring System to Catch Unauthorized ActivityIRJET Journal
The document describes a proposed self-monitoring system called SMS that detects unauthorized insider activity on a system. SMS monitors user activity at the system call level and creates user profiles to track normal usage patterns. It compares current activity to these profiles to identify anomalous behavior that may indicate a malicious intrusion. When SMS detects potential unauthorized activity, it takes a snapshot of the event and reports it to administrators. The system aims to improve on other intrusion detection systems by identifying insider threats in real-time at the system call level using data mining and forensic techniques.
This document summarizes a proposed network attack alerting system that aims to reduce the large number of alerts generated by intrusion detection systems (IDS). The system uses both network-based and host-based IDS to detect attacks launched using the Backtrack attacking tools on a virtual network lab environment. Well-known open source security tools on the Security Onion Linux distribution are used to generate alerts. The system defines rules to identify important alert types and stores alerts in a database. It aims to eliminate redundant alerts for the same attack by analyzing attributes like source/destination IP and port. Alert severity levels are defined using threshold counts and times to classify alerts and help administrators respond appropriately.
Implementing a Robust Network-Based Intrusion Detection Systemtheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
A Review Of Intrusion Detection System In Computer NetworkAudrey Britton
This document provides an overview of intrusion detection systems (IDS) and the techniques used to implement them. It discusses that IDS are used to detect malicious actions on computer networks and protect important files and documents. The document then summarizes that IDS have four main components - sensors to monitor the system, a database to store event information, an analysis module to detect potential threats, and a response module to address detected threats. It also categorizes IDS based on the data source, detection approach, structure, and how intrusions are detected. Finally, the document outlines various techniques used in IDS, including artificial intelligence methods like neural networks, fuzzy logic, genetic algorithms and machine learning approaches.
This document summarizes a proposed robust campus wide network defender system. It begins with an introduction to network security and the role of firewalls and intrusion detection systems. It then describes various attack generation and detection algorithms proposed as part of the system. These include algorithms for generating and detecting ICMP floods, SYN floods, LAND attacks, and XMAS attacks. The system is intended to integrate firewall and IDS capabilities to better defend against known attacks. The document concludes with discussions of the software development process and programming tools used to implement the proposed system.
Secure intrusion detection and countermeasure selection in virtual system usi...eSAT Publishing House
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Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large...
D03302030036
1. The International Journal Of Engineering And Science (IJES)
|| Volume || 3 || Issue || 3 || Pages || 30-36 || 2014 ||
ISSN (e): 2319 – 1813 ISSN (p): 2319 – 1805
www.theijes.com The IJES Page 30
A Knowledge-Based Intrusion Detection Engine to detect attacks
on security protocols
1,
Asst. Prof. Pratima Bhalekar & 2,
Asst. Prof. Sonali Ingle
1, 2,
Ashoka Center for Business and Computer Studies,
Wadala, Nashik
------------------------------------------------------ABSTRACT----------------------------------------------------
With the evolvement of the Internet over the last few years, the need for security has been rising with it mainly
due to the openness and connectivity nature of the web, people and organizations are faced with more
challenges every day to secure their data and all other assets of value to them. No system is totally secure. Any
security procedures should be undertaken with that in mind. There will always be threats and actual intrusions.
The ultimate goal should be minimizing the risk and not eliminating it. This paper describes a system for
detecting intrusions, introducing technologies to provide protection for electronic information exchange over
public networks.
KEYWORDS: Intrusion Detection, Security Protocol, Attacks, IDE.
---------------------------------------------------------------------------------------------------------------------------------------
Date of Submission: 28 February 2014 Date of Acceptance: 15 March 2014
---------------------------------------------------------------------------------------------------------------------------------------
I. INTRODUCTION
Network security refers to any activities designed to protect your network. Specifically, these activities
protect the usability, reliability, integrity, and safety of your network and data. Effective network security targets
a variety of threats and stops them from entering or spreading on your network. Our research combines two
common security technologies to provide protection for
electronic information exchange over public networks.
1.1 Background
Current technology for computer and data security is usually based upon Access Control List (ACL)
methodology, monitored environments, or data encryption. The use of encryption grew dramatically after
introduction of the Data Encryption Standard [1] and public key technology [2], both in the late 70s. In this
paper, we demonstrate a new security technique based on monitoring encrypted exchanges in order to detect
intrusions.
1.1.1. Intrusion Detection
Intrusion detection (ID) is a type of security management system for computers and networks. An ID
system gathers and analyzes information from various areas within a computer or a network to identify possible
security breaches, which include both intrusions (attacks from outside the organization) and misuse (attacks
from within the organization). ID uses vulnerability assessment (sometimes refered to as scanning), which is a
technology developed to assess the security of a computer system or network.
Intrusion detection functions include:
Monitoring and analyzing both user and system activities
Analyzing system configurations and vulnerabilities
Assessing system and file integrity
Ability to recognize patterns typical of attacks
Analysis of abnormal activity patterns
Tracking user policy violations
There are two main designs available to IDSs for detecting attacks: 1) the misuse detection design and 2) the
anomaly detection design [2].
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A strength of misuse detection paradigm is that when it signals that an attack has occurred, it is very
likely that an attack has actually occurred. In IDS terminology, it minimizes false positives. A weakness of
misuse detection is that only attacks recorded in the database can be recognized. New attacks (and other attacks
that have not yet been entered in the database) cannot be recognized. This results in failure to report some
attacks (termed "false negative"). The behavior-based design uses statistical methods or artificial intelligence in
order to detect attacks. The strength of anomaly detection systems is that they can detect new attacks and there
is no requirement to enter attack signatures into a database.Conversely, anomaly detection systems have a higher
false alarm (or false positive) rate, because they sometimes report different, but non-malicious, activity as an
attack. The current and continuous reports of newly discovered flaws and vulnerabilities in end-user and
architectural systems indicates that we will likely never be able to guarantee the security of electronically
transmitted information. Moreover, it strongly suggests that preventative methods will likely never be sufficient
to protect our networks. Our approach combines complementary prevention (encryption) and detection (IDS)
technologies to provide layered security for network traffic.
1.1.2.Security Protocols
A security protocol (cryptographic protocol or encryption protocol) is an abstract or concrete protocol that
performs a security-related function and applies cryptographic methods. Algorithms such as DES, the
International Data Encryption Algorithm and the Advanced Encryption Standard make use of keys to encrypt
plain text messages before they are transmitted. Security protocols allow key exchange, authentication,
and privacy through strong encryption. These protocols define the content and order of exchanges between the
communicating principals. Early security protocols were short, usually with less than five messages. They were
also simple, often developed for execution in a single, non-current session, with no branching or decision
mechanisms. The classic Needham and Schroeder Conventional
Key Protocol is representative of early protocols and is shown in Figure 1.
A S : A, B, Na
S A : E(Kas: Na, B, Kab, E(Kbs : Kab, A))
A B : E(Kbs : Kab, A)
B A : E(Kab : Nb)
A B : E(Kab : Nb– 1)
Figure 1
Unfortunately, encryption backed by carefully crafted and thoroughly tested security protocols may still not be
sufficient to prevent sophisticated intruders from compromising secure communication. Subtle flaws exist in
many security protocols that can be used by malicious parties to compromise the security goals by subverting
the underlying protocol. For example, sophisticated intruders may be able to spoof valid parties in a data
exchange by using replay techniques where information from previous runs of any encrypted exchanges are
used in the current run, as shown by Denning and Sacco [3]. As a result, intruders may be able to masquerade as
valid parties in communication, steal keys etc. which leads to compromise of the encrypted exchange. It is clear
that another level of protection must be provided for encrypted data exchanges to detect attacks on the security
protocols.
1.1.3. The Secure Enclave Attack Detection System
The Secure Enclave Attack Detection System (SEADS) [6] is a system that can detect attacks on
security protocols within an enclave of valid and recognized parties that communicate using a public network. In
this environment, security protocol activity based on the message exchanges within the enclave is gathered by
an Activity Monitor and compared against a knowledge base of attack signatures on protocols. This allows the
Intrusion Detection Engine (IDE) to detect attempts to subvert the security protocols and to identify suspicious
activities. The SEADS architecture is shown in Figure 2.
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Figure 2.
The detection mechanism of the Intrusion Detection Engine (IDE) is constructed based on the
knowledge-based paradigm. The IDE detects anomalous, malicious, or suspicious protocol activity occurring
within the secure enclave based upon previously gathered attack signatures. We know of no other executing
environment that can detect attacks against encrypted traffic.
II. DETECTING INTRUSIONS USING SECURITY PROTOCOL CHARACTERISTICS
The goal of our research is to show that formal definitions of attacks on security protocols can be
represented as signatures that can be stored in a knowledge base and compared against ongoing activity to detect
attacks. This is done using specific characteristics of protocols. When our system recognizes a specific signature
of activity that corresponds to a known attack, we signal that an attack has occurred. Additionally, because of
the characteristics of our system, we are also able to identify suspicious behavior that may or may not represent
an attack. Again, this suspicious activity is recognized based on the characteristics of the security protocols that
we monitor, not on the longterm behavior of any principal(s). From this perspective, our technique may be
considered online analysis of Security Protocols. Moreover, we know of no other project that analyzes executing
security protocols. Moreover, our environment consists of a real world scenario comprised of multiple users
engaged in multiple concurrent sessions, and using many different protocols, with all the traffic
interleaved.Finally, we also define and utilize signatures of properly executing protocols as part of our detection
paradigm.
2.1. Constructing Signatures of Attacks
An important feature of the our technique is that the detection mechanism does not rely upon
knowledge of the payload of the messages exchanged between the principals during protocol sessions. This is
because the IDE detects attacks based upon the characteristics of the security protocols themselves. The
signatures constructed from protocols and their known attacks are represented by:
(1) The protocols that are in use
(2) The principals (originator and recipient) involved
(3) The messages that are sent
(4) The messages that are received
(5) The concurrent sessions that occur
Consider the canonical Needham and Schroeder Conventional (symmetric) Key Protocol (NSCKP) [5]
shown in Figure 1. This protocol requires three principals: A, B and the trusted third party server S. The aim of
NSCKP is to establish a secret key Kab that is to be used by the principals A and B to encrypt their future
exchanges. At the end of a correct run of the protocol, both principals should be in possession of the secret key,
Kab, newly generated by the server S.The given description of the protocol includes information about the
payload data exchanged by the principals. However, as previously mentioned, the IDE does not rely on payload
information for its detection mechanism. Rather, it relies on the proper sequencing of messages in the session.
The NSCKP can be represented by the signature given in Figure 3
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Protocol Session Message # Action Sender Receiver
NSCKP x 1 send A S
NSCKP x 1 receive A S
NSCKP x 2 send S A
NSCKP x 2 receive S A
NSCKP x 3 send A B
NSCKP x 3 receive A B
NSCKP x 4 send B A
NSCKP x 4 receive B A
NSCKP x 5 send A B
NSCKP x 5 receive A B
Figure 3
Each step of the signature is considered an event. Alice1 sending a message to Sally is considered as a „send‟
event and similarly Sally receiving a message from Alice is a „receive‟ event by Sally from Alice. An important
feature of protocol signatures is that they include receive events. Earlier research [6] took into account only the
message sending events in the protocol signature. This means that Alice sending a message to Sally (as in event
1), and correspondingly Sally receiving the same message (event 2) will be represented as two distinct events in
the protocol signature used by the IDE.
Consider a scenario during the run of the NSCKP. Upon sending a message to Sally as part of the first
step of the protocol, Alice will inform the activity monitor of SEADS about this.
Since a public network is being used for the message transfer between Alice and Sally on insecure lines, the
message may be lost or may be intercepted by an intruder. In either case Sally will not inform the monitor that it
actually received a message from Alice. Thus, the sequence of events logged in the monitor will show a
message sent by Alice to Sally, but not received by Sally, as evident by the lack of the receive notification by
Sally to the monitor. It is prudent therefore to include the message receipt as a separate event in the protocol
signature, as we further illustrate.
The attack on the Needham and Schroeder Conventional Key Protocol was demonstrated by Denning
and Sacco [4]. The attack leverages the lack of temporal information in message three. Although Bob decrypts
this message and legitimately assumes that it was created by the server Sally, there is nothing in the message to
indicate that it was actually created as part of the current protocol run. Thus, suppose, a previously distributed
key Kab has been compromised, through cryptanalysis or other means, and is known by a malicious intruder,
Mallory. If Mallory monitored and recorded message three of the corresponding protocol run, consisting of
E(Kbs: Kab, A), he can now fool Bob into accepting the key as new by the protocol given in Figure 4.
(3) *M(A) B : E(Kbs : Kab, A)
(4) B M(A) : E(Kab : Nb)
(5) M (A) B : E(Kab : Nb–1)
*M (A) stands for M masquerading as A.
Figure 4
After effecting the attack, Bob believes he is following the correct protocol. Mallory is able to form the
correct response in (5) because she knows the compromised key Kab. She can now engage in a communication
with Bob using the compromised key and masquerade as Alice.
We can generate a signature recognizable by the IDE for the above attack on the Needham and Schroeder
protocol. The signature is comprised of only three events, two receive events and a send event as shown in
Figure 5.
Protocol Session Message # Action Sender Receiver
NSCKP x 3 receive A B
NSCKP x 4 send B A
NSCKP x 5 receive A B
Figure 5
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Since the malicious intruder (M), is not part of the secure enclave, it will not co-operate with the activity
monitor and, hence, will not inform the monitor whenever it sends or receives messages. Thus the above attack
signature will consist only of events reported by Bob (a valid principal) to the monitor.
2.2. The Recognition Machine
In section 2.1 we described in detail how the attack signatures are constructed from the description of
security protocols. The IDE interfaces with the activity monitor to receive events corresponding to protocol
sessions executing within the enclave and compares the events with the attack signatures stored in the
knowledge base. The comparison mechanism in the IDE is achieved by using Finite State Machines.
2.3. Signature Format in the Knowledge Base
Each signature is stored in the Knowledge Base as a procedure defining a finite state machine.
Information in the first line identifies the entry, followed by the state identifiers and the transitions that occur.
2.4. Construction of the Finite State Machine
When a session begins, the IDE constructs a Finite State Machine (FSM) recognizer for each signature
stored in the knowledge base, corresponding to the protocol used in that session. The state transition diagram for
attack signature #1 on the NSCKP protocol (as described in section 2.1) is shown in Table 1.
Initially the recognizer will be in the start state (SS). As the IDE receives events from the monitor for
this particular protocol session it advances the FSM for this signature if the arriving events match those in the
attack signature. Upon a transition to the final state in any of the finite state machines corresponding to the
attack signatures of the protocol, the IDE signals an attack notification.
Current
State
Event Protocol Session Sender Receiver Message
Number
Next State
SS receive NCCKP X A B 3 S1
S1 send NCCKP X B A 4 S2
S2 receive NCCKP X B A 5 FS
Table 1
2.5 How to Detect Protocol Attack
IDE uses different methods to detect protocol attack depending on number of sessions used in specific
attack. Attacks on security protocols may be over only a single session of the protocol or may utilize
information gleaned from multiple runs of the protocol. Thus, attacks may be classified as Single session attacks
or Multi-session attacks.
2.6. Single Session Attacks
Single session attacks are those attacks which may occur in a single session. The signature of such an
attack may differ from the protocol itself in only something so subtle as a missing receive statement.
Detection of single session attacks by the IDE is simply a matter of the relevant attack finite state
machine reaching the final state, upon which the IDE will signal a notification. No knowledge of the previous
session is necessary for the IDE to detect this attack.
2.7. Multi-Session Attacks
Multi-session attacks are those attacks that use information extracted from more than one
previous or concurrent protocol sessions. For multi-session attacks, the IDE classifies them as either Replay
Attacks or Parallel Session Attacks.
2.7.1 Replay Attacks
Also known as a "man-in-the-middle attack”. A replay attack is a form of network attack in which a
valid data transmission is maliciously or fraudulently repeated or delayed. This is carried out either by the
originator or by an adversary who intercepts the data and retransmits it. The first question that must be answered
is: "How much time can pass between the reference session and the attack session?" This is an important
question in our architecture because of the way replay attacks are detected. The signature of a replay attack
consists of the signature of the reference session followed by the signature of the attack session. Thus, the
recognizer must remain active until either an attack is detected or the threshold period expires.
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We handle this by requiring the author of signatures of replay attacks to include the threshold in the
signature, which will vary from protocol to protocol. The default wait constant was chosen to be ten seconds for
the IDE prototype. If events occur that triggers a replay recognizer, if the time difference between the attack
session and the reference session is greater than the wait time, the IDE will flag this activity as suspicious
behavior.
2.7.2 Parallel Session Attacks
A parallel session attack occurs when two or more protocol runs are executed concurrently and
messages from one run (the reference session) are used to form spoofed messages in another run (the attack
session).
To initiate the attack, Mallory waits for Alice to initiate the first protocol session with Bob.Mallory
intercepts the message and pretends to be Bob, starting the second run of the protocol by replaying the
intercepted message. Alice replies to Mallory's challenge with exactly the value that Mallory requires to
accurately complete the attack session. The attack is shown in Figure 7.
Attack Session Reference Session
A M(B): E(Kab : Na)
M(B) A: E(Kab : Na + 1)
M(B) A: E(Kab : Na)
A M(B): E(Kab :Na + 1)
Figure 7
The IDE detects parallel session attacks by matching the ongoing activity against the attack signatures.
The telling factor in this case is the omission of any information from Alice's partners in either session, as
reflected in the signature in Table 2.
Current
State
Event Protocol Session Sender Receiver Message
Number
Next State
SS Send OWAP X A B 1 S1
S1 Receive OWAP X+α B A 1 S2
S2 Send OWAP X+α A B 2 S3
S3 Receive OWAP X B A 2 FS
Table 2
III. DESIGN OF THE INTRUSION DETECTION ENGINE
The design of the IDE uses the objectoriented paradigm. The problem was broken down into smaller
components, and appropriate classes were developed to accurately represent the problem.
A major factor in the design of the IDE, was the complexity of the environment being monitored.
Within any enclave, we expect to monitor events interleaved from multiple:
Concurrent sessions
Different principals
Different protocols
In addition there is no guarantee that all the sessions will properly conclude. Some sessions may
be suspended abnormally and messages may be lost.
3.1. Architectural Design
A number of issues had to be taken into account in the design phase of this research implementation.
The design was created in order to ensure that all the requirements and specifications were satisfied.In the
secure enclave it is possible to have multiple concurrent sessions of different protocols executing within the
enclave. The sessions may consist of the same or different principals. The Intrusion detection engine must be
able to keep track of the different protocol sessions executing within the enclave in order to detect any attacks or
suspicious activity. Not all attacks on security protocols occur over a single session. As described earlier, multi-
session attacks such as replay attacks or parallel attacks may occur within the enclave. These multi-session
attacks span multiple different protocol sessions. The Intrusion detection engine must provide a means to keep
track of such executing sessions and detect any attacks.
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Additionally, the detection of attacks has to be communicated to the person or system monitoring the enclave.
Detailed reports of all attacks or suspicious behavior must be generated by the IDE. Such reports provide in-depth
information about the type of attack and principals participating in the protocol session. The Intrusion Detection Engine
receives crucial inputs from the Activity Monitor and from the Knowledge base of protocol signatures. It is important to
ensure that interfaces with the Monitor and the Knowledge base are well-defined and reliable.
3.1.1 The Thread Dispatcher and Monitors
As noted earlier, the IDE receives protocol events from the monitor as they occur. The IDE is multi-threaded with
a single thread to serve as the thread dispatcher. Since each protocol may have many attack signatures associated with it,
when a new protocol session begins, the IDE spawns a new thread to monitor all the FSM recognizers for that protocol. As
illustrated in Figure 8, the Thread Dispatcher then routes events to the appropriate thread as they arrive.
To keep track of all the threads existing within the system, a ThreadList class is employed, that holds the protocol name,
session number, identifiers of the principals involved, a signal to which the thread listens, and a thread identifier for each
thread.
Figure 8: Thread Dispatcher
IV. THE GRAPHICAL USER INTERFACE
In our research, a Graphical User Interface (GUI) was implemented for an overall view of the attacks and
suspicious activities detected within the enclave. The GUI allows the reporting of attacks to the user. The user can specify
the time duration and the protocol name to obtain a detailed report of all the attacks (on the specific protocol) that took place
during that period.
V. CONCLUSION
We have designed and implemented a Knowledge-Based Intrusion Detection Engine to detect attacks on security protocols
executing within a secure enclave. This research provides an necessary extra level of protection for encrypted
exchanges.Extensive research on the characteristics of security protocols enabled this detection methodology to achieve its
desired functionality. Extracting the description of security protocols into sequences of events allows the IDE to detect
attacks on those protocols. The IDE will detect any attacks or suspicious activity on security protocols executed by valid
principals operating within a secure enclave. The detection of the IDE compares protocol activity gathered by the Monitor
against the attack signatures stored in the Knowledge base. A Graphical User Interface (GUI) was also developed in order to
facilitate an overall report of attacks that have been detected by the IDE, along with their occurrence times. Collectively,
these components represent a fully functional Secure Enclave Attack Detection System.
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Activity IDE Thread
Protocol A session 1
Protocol A session 2
Protocol B session1
Protocol C session1