This document summarizes a survey of recent methods for detecting evil twin access points in wireless local area networks (WLANs). It describes the background and challenges of evil twin attacks, where attackers create rogue access points that mimic authorized ones to steal user information. The document categorizes detection methods as network admin-side or client-side solutions. It reviews several specific detection techniques, such as those based on timing analysis, received signal strength, or separating one-hop from two-hop wireless connections. Finally, it discusses issues like the difficulty of completely detecting evil twins and challenges with wireless-only versus wired-side detection approaches.
IRJET- Reliable Data Transmission in Wireless Network using Secure Trust ...IRJET Journal
This document proposes an Authenticated Anonymous Secure Routing (AASR) scheme to ensure reliable data transmission in wireless networks even against advanced attacks like false trust reporting or compromised node attacks. The AASR scheme improves routing performance by avoiding malicious nodes, isolating false trust information through a weight function, and considering both nodal and directional trust to select more reliable routing paths. Simulation results show AASR provides better performance than existing ATR and SPR schemes in dealing with Byzantine and compromised node attacks.
Proactive Population-Risk Based Defense Against Denial of Cyber-Physical Serv...IRJET Journal
This document discusses proactive population-risk based defense against denial of cyber-physical service attacks. It proposes using test packets to test network state and rules across switches to detect faults. The goals are to augment human debugging, reduce downtime, and save money. Related work discussed network tomography using end-to-end measurements to identify lossy links. Striped unicast probes were also explored to infer link-level loss rates. The algorithm aims to generate test packets that exercise every rule on each switch to detect faults with a minimum number of packets.
IRJET- Survey on Phishing Attack Detection and MitigationIRJET Journal
The document discusses phishing attacks and methods to detect and mitigate them. It provides background on phishing, describing types like spear phishing and causes. It then summarizes previous research on phishing detection techniques, including blacklisting approaches and using Snort as an intrusion detection system. The document also introduces the challenges of static detection rules not keeping up with evolving phishing attacks and the need for faster detection and mitigation times.
Hybrid Technique for Detection of Denial of Service (DOS) Attack in Wireless ...Eswar Publications
Wireless Sensor Network (WSNs) are deployed at aggressive environments which are vulnerable to various security attacks such as Wormholes, Denial of Attacks and Sybil Attacks. There are various intrusion detection techniques that are used to identify attacks in a network with high accuracy level. This paper has focused on Denial of Service attack, since it is the most common attack that affects the environment severely. Therefore a new hybrid technique combining Hidden Markov Model with Ant Colony Optimization (HMM+ACO) has been
proposed that gives improved performance than the other techniques.
A Survey on Black Hole & Gray Hole Attacks Detection Scheme for Vehicular Ad-...IRJET Journal
This document discusses security threats in vehicular ad hoc networks (VANETs) called black hole attacks and gray hole attacks. It begins with an introduction to VANETs and the types of attacks they face, including impersonation attacks, denial-of-service attacks, and routing attacks such as worm hole attacks, black hole attacks, and gray hole attacks. Black hole attacks involve malicious nodes dropping all packets, while gray hole attacks involve selectively dropping packets. The document compares the impacts of black hole attacks and gray hole attacks, finding that black hole attacks result in more packet drops. It concludes that securing applications in VANETs is important for road safety, and future work is needed to better identify attacks and control malicious
Finding Critical Link and Critical Node Vulnerability for Networkijircee
The document discusses network vulnerability assessment and finding critical links and nodes. It proposes using a belief propagation algorithm to calculate the vulnerability of each node and the overall network vulnerability over time. It provides an example network and shows the results of analyzing it to find the critical nodes and links using the proposed algorithm. The algorithm works by having each node calculate the vulnerability of its neighbors and share this information over time to determine the overall network vulnerability.
False positive reduction by combining svm and knn algoeSAT Journals
Abstract
With the growth of information technology. There emerges many intrusion detection problem such as cyber security. Intrusion detection system provides basic infrastructure to detect a number of attacks. This research work focuses on intrusion detection problem of network security. The main goal is to detect network behaviour as normal or abnormal. In this research work, two different machine learning algorithm have been combined together to reduce its weakness and takes positive feature of both algorithm. Its experimental results generates better result than other algorithm in terms of performance, accuracy and false positive rate. These combined algorithm has been applied on KDDCUP99 dataset to find better result by improving its performance, accuracy and reducing its false positive rate.
Keywords: Intrusion detection system, KDDCUP99 dataset, False positive rate.
Review of Intrusion and Anomaly Detection Techniques IJMER
Intrusion detection is the act of detecting actions that attempt to compromise the
confidentiality, integrity or availability of a resource. With the tremendous growth of network-based
services and sensitive information on networks, network security is getting more and more importance
than ever. Intrusion poses a serious security threat in a huge network environment. The increasing use of
internet has dramatically added to the growing number of threats that inhabit within it. Intrusion
detection does not, in general, include prevention of intrusions. Now a days Network intrusion detection
systems have become a standard component in the area of security infrastructure. This review paper tries
to discusses various techniques which are already being used for intrusion detection.
This document summarizes a research paper on wireless network intrinsic secrecy. The paper proposes a framework to model wireless networks with inherent secrecy given by physical properties like node spatial distribution, wireless propagation medium, and total network interference. It develops metrics to measure network secrecy and evaluates how properties like path loss, fading and interference can enhance secrecy. The analysis provides insights into exploiting inherent properties of wireless networks to improve security and privacy of communications. Evaluation results show that interference can significantly benefit network secrecy and a deeper understanding of how natural network properties can be used to enhance secrecy.
Environment based secure transfer of data in wireless sensor networksijsptm
Most critical sensor readings (Top-k Monitoring) in environment monitoring system are important to many
wireless sensor applications. In such applications, sensor nodes transmit the data continuously for a specific time period to the storage nodes. It is responsible for transferring the received results to the Authority on Top-k Query request from them. Dummy data's were added into the original text data to secure the data against adversary in case of hacking the sensor and storage nodes. If storage node gets hacked by adversary, false details will be sent to the authority. An effective technique named aggregate signature to validate the source of the message and also to protect the data against latest security attacks,
cryptography technique combined with steganography has been introduced. Indexed based scheme for the database access has also been proposed, to validate the resources against availability before forwarding the data fetch request to storage nodes from Authority.
IRJET- Improving Cyber Security using Artificial IntelligenceIRJET Journal
This document discusses using artificial intelligence techniques like machine learning algorithms to improve cyber security. It proposes a methodology that uses Splunk to extract relevant fields from cybersecurity data, feeds that into a K-means clustering algorithm to form attack clusters, then sends those clusters to individual artificial neural networks (ANNs). The aggregated ANN results are then fed into a support vector machine (SVM) which classifies attacks as malicious, non-malicious, or benign. Testing this approach on a dataset achieved a classification accuracy of over 92% when using Splunk, K-means, ANNs, and SVM together.
IRJET - Detection of False Data Injection Attacks using K-Means Clusterin...IRJET Journal
This document discusses detecting false data injection attacks in networks using k-means clustering. It proposes a system that uses a camera to detect inside attacks on a sub-network. When an outside person pauses the camera for a certain period of time, the server will detect this as an inside attack and inform the administrator. The system aims to improve network security by identifying these inside attacks using k-means clustering algorithm to classify sensor measurements and detect false data injected by attackers.
Impact analysis of epda and ipda attack with increasing node mobility in data...eSAT Journals
Abstract In this Paper, two types of denial of service attacks over mobile ad hoc networks are implemented and their impact is analyzed on data communication process when using a reactive routing protocol for data communication. The reactive routing protocol well known Ad-hoc on-demand distance vector (AODV) routing protocol. In the Implemented attacks, a malicious node i.e., attacker will drop data packets that it receives for forwarding towards the destination of the packet. The attacker can do the attack by either making itself one of the intermediate nodes on the active route. The attackers can be one of the intermediate nodes in two ways. In the first method the attacker is waiting that some route discovery process will select it as one of its intermediate node and then it will drop all the data packets it receives for forwarding to destination. In the second method the attacker uses the dissemination of the false information to become the part of an active route. Due to the wrong information spread by the malicious nodes the routing tables of the source node enters a route for the destination that will surely includes the attacker in the route. The Implemented attack is simulated using a tool Exata and results are drawn using graphs to show the impact of the attack on data communication. Finally, a mechanism is proposed through which both the attack and attackers can be detected during the data communication and can be avoided in further communication process. Keywords: AODV, DoS Attacks, EPDA & IPDA Attacks, MANET
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Survey on Security Aspects Related to DOIPIRJET Journal
This document discusses security aspects related to diagnostics over IP (DoIP) in connected vehicles. It first provides background on DoIP and the increasing connectivity of vehicles. It then analyzes potential security threats and attacks in different DoIP communication scenarios. Next, it evaluates security requirements like data authenticity, integrity, and availability. It also examines security issues in the DoIP protocol header and proposes mechanisms to protect against attacks like modification, fingerprinting and buffer overflows. In conclusion, the document provides a security analysis of DoIP and identifies measures needed to safely enable remote vehicle diagnostics over IP networks.
A Heuristic Approach for Network Data Clusteringidescitation
In this growing world of technology there are lots of security threats received by
each and every area of computer networks. Most of the time the network security threats
produce high false positive and negative ratios, this creates an obstacle for any security
system to work improperly. The overwhelming threats make it challenging to understand
and manage the network data.
To address this problem we present a novel approach which eventually understand the
network data by clustering them without background knowledge of any threats according to
various parameters like source IP, Destination IP etc. And this approach saves
administrator’s time and energy in processing of large amount threats.
A Survey Paper on Jamming Attacks and its Countermeasures in Wireless NetworksIRJET Journal
The document discusses jamming attacks in wireless networks and game theoretic approaches to model the interaction between attackers and networks. It analyzes different types of jamming attacks and various anti-jamming techniques. Furthermore, it formulates the interaction as a game using game theory and analyzes Nash equilibriums to determine optimal strategies for both networks and attackers.
Detecting Victim Systems In Client Networks Using Coarse Grained Botnet Algor...IRJET Journal
This document presents a proposed system for detecting victim systems in client networks using a coarse-grained botnet algorithm. The system uses a two-stage approach: 1) the primary stage detects and collects network anomalies related to botnets; 2) the second stage identifies bots and blocks them from entering the receiver end, identifying bot sender IP addresses. The system implements a scanner to identify bot files, scanning incoming files in both the sender and receiver ends if protection mode is enabled. This avoids intrusions and blocks unauthorized users from accessing the application. The proposed system can help avoid botnet infections spreading in client networks.
This document proposes applying convolutional neural networks for network intrusion detection. It presents the methodology of using CNN and hybrid CNN-RNN models on two network intrusion detection datasets, KDDCup '99 and NSL-KDD. The results show CNN and hybrid models performed better than multi-layer perceptrons at classifying connections as normal or attacks and categorizing different attack types. Future work would evaluate these models on more recent intrusion detection datasets.
The IEEE 802.15.4 standard is used in networks that entail wireless technology within short distances and low traffic of exchange messages. This type of network is an approach of the Low Rate Wireless Personal Area Network (LR-WPAN) that provides the description for a physical layer (PHY) and media access control (MAC). There are four security services to protect the exchange of data and control frames in the IEEE 802.15.4. The MAC layer in IEEE 802.15.4 allows association devices to disconnect within the network. It also allows the coordinator PAN to run the disassociation process by imposing the associated device disconnection within the network. However, one of the challenges the disassociation process faces is DoS attacks, which impact the services of the network. Therefore, this paper aims at improving security through a review and analysis of the procedure of the disassociation process and identify the shortcomings of the security. The main result is to identify a new possible attack against the disassociation process. The attacker can impersonate either the coordinator PAN or the associated device to execute this potential attack. The implementation of the potential attack in the Castalia tool using the OMNET++ environment is explained and discussed in the results.
International Journal of Computer Science and Information Security,IJCSIS ISSN 1947-5500, Pittsburgh, PA, USA
Email: ijcsiseditor@gmail.com
http://sites.google.com/site/ijcsis/
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https://www.linkedin.com/in/ijcsis-research-publications-8b916516/
http://www.researcherid.com/rid/E-1319-2016
Creation of automatic identification and data capture infrastructure via data...IAEME Publication
This document discusses automatic identification and data capture (AIDC) infrastructure using 2D datamatrix technology. It begins by introducing AIDC and its importance for supply chain management and enterprise systems. It then provides an overview of common identification technologies like barcodes, RFID, and sensors. The document focuses on comparing barcodes and 2D datamatrix, explaining their components and advantages. Specifically, datamatrix allows for faster, contactless reading of large amounts of data compared to barcodes. Finally, the key components of an AIDC infrastructure are defined, including tags, sensors, edge servers, and their connection to enterprise applications.
This document presents a generalized algorithm for optimizing demand prediction of short life cycle products using Markov chains. It begins with an introduction to short life cycle products and issues with demand forecasting for products with very low shelf lives between 1-2 days. It then discusses using Markov chains to model demand as a random variable. An algorithm is developed using Markov chain transition probabilities and steady state probabilities to determine optimal demand forecast. The algorithm is implemented on a baked product to determine optimal demand. It is presented as a novel technique that can improve demand forecasting for short life cycle supply chains.
An overview of a continuous monitoring and control system for 3 phase inductIAEME Publication
This document provides an overview of a continuous monitoring and control system for 3-phase induction motors using programmable logic controller (PLC) and supervisory control and data acquisition (SCADA) technology. The system allows for constant speed control of induction motors despite varying loads. It uses a PLC to control a variable frequency drive which regulates motor speed based on feedback sensors. All motor performance data is sent to a personal computer via the PLC for analysis. This provides improved control, flexibility and reliability compared to conventional control systems.
Analytical techniques used for disease diagnosis–invasive and non invasive toolsIAEME Publication
The document discusses various analytical techniques used for disease diagnosis, including invasive and non-invasive tools. It provides details on several diagnostic techniques: amniocentesis, which analyzes amniotic fluid samples to detect fetal defects; lumbar puncture, which collects cerebrospinal fluid samples for analysis; and biopsy, which extracts cell or tissue samples for examination. The techniques are described in terms of their procedures, relevant results, advances, complications, and side effects. Imaging techniques like MRI and ultrasound are also discussed as complementary to invasive diagnostics like biopsy.
Single frontal face detection by finding dark pixel group and comparing xyIAEME Publication
The document describes a method for detecting single frontal faces in color images. The method first detects skin color regions using a skin color model. It then finds connected components within the skin regions and tests each one for facial features. Facial features like eyes, nose, and mouth are extracted by analyzing the locations and shapes of dark pixel groups and comparing the relative positions of the features. Faces are identified by drawing lines between the features and comparing the shapes of the resulting triangles. The detected face region is enclosed within a rectangle defined by the feature locations. The method was tested on images containing faces with variations in lighting, features, and expressions.
Overlapping optimization with parsing through metagrammarsIAEME Publication
This document describes techniques for improving the performance of a meta framework developed by combining C++ and Java language segments. The meta framework identifies and parses source code containing C++ and Java statements using a metagrammar. Bytecodes are generated from the abstract syntax tree and optimized using techniques associated with the metagrammar, such as constant propagation. Constant propagation identifies constant values and replaces variables with those values to simplify expressions and reduce unnecessary computations. Other optimizations discussed include function inlining, exception handling, and eliminating unreachable code through constant folding. The goal is to develop an optimized meta framework that generates efficient bytecodes for hybrid C++ and Java source code.
Lotka’s law a study with reference to the literature byIAEME Publication
This document analyzes the publication patterns of faculty members at National Institutes of Technology (NITs) in India between 2001-2010 using bibliometric methods. It finds that the number of publications increased nearly threefold over this period, with the highest output in 2010. Lotka's law is tested to analyze the distribution of authors' productivity, with most authors publishing just one or two articles. Co-authorship is also examined and found to be increasing, indicating more collaborative research. The study aims to better understand research trends and concentrations in different engineering fields among NIT faculties.
Geothermal energy the eco friendly alternative source of energyIAEME Publication
The document discusses geothermal energy as a renewable and eco-friendly energy source. It notes that geothermal energy taps into the Earth's natural heat and is a clean alternative to fossil fuels. While some countries have adopted geothermal power, India has significant untapped geothermal potential but has focused less on developing this resource. The document calls for India to strategically develop its geothermal reserves and allocate more funding to extract this renewable source of energy beneath its feet to avoid future energy crises and meet rising demand in a sustainable manner.
Hydraulics now a days is a very distinguished area which has lot of major challenges often came in its
progress due to the realistic changes affecting on applicable working fluid viz. Water. Most occasions,
Water can be easily available but in certain times it may be scarce also. The available water vary according
to its properties. It exists in normal conditions as well as salty or hardy due to deposits. Majority of Water
is contaminated with minerals, dust or dirt. Often pure water which may be acidic or alkaline can be used
for making discharges through the Turbines
IRJET- Wireless LAN Intrusion Detection and Prevention System for Malicious A...IRJET Journal
This document discusses a wireless LAN intrusion detection and prevention system for malicious access points. It aims to automatically detect and block rogue access points on a network, while also protecting unprotected clients. The system uses a whitelist containing authorized clients and compares IP addresses, SSIDs, detection/prevention times, and MAC addresses of access points and clients to identify unauthorized ones. It examines different techniques for detecting malicious access points and implements a lightweight server-side and client-side solution to efficiently detect and prevent malicious access points and protect unprotected clients, including detecting live attacks. The system aims to address limitations of prior work that only protected the client-side or server-side individually.
AN IMPROVED WATCHDOG TECHNIQUE BASED ON POWER-AWARE HIERARCHICAL DESIGN FOR I...IJNSA Journal
This document proposes an improved watchdog technique for intrusion detection in wireless sensor networks. The technique uses a hierarchical model with cluster head nodes acting as watchdogs to monitor network activity within each cell. This is intended to overcome issues with the original watchdog mechanism and reduce power consumption, extending the lifetime of sensor nodes. The algorithm for malicious node detection involves the cluster head eavesdropping on transmissions, comparing messages to a buffer, and raising warnings if messages do not match. Simulation results showed this approach increased network lifetime by around 2611 seconds compared to a non-hierarchical model.
Secure intrusion detection and countermeasure selection in virtual system usi...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Wireless lan intrusion detection by using statistical timing approacheSAT Journals
Abstract Today as we all are habitual of using internet through wired or wireless LAN Networks, but using internet through Wireless LAN becomes harder as the threat of unauthorized access point is increasing day by day. In This paper we are focusing on different types of rogue access points (APs) that are masquerading and attracting people to get associate with them or to connect with them. We are implementing a solution to avoid people or users from connecting to the unauthorized access point by using experimental time dependent scheme. Our detection technique is a client-oriented method that uses the complete tour time between the DNS server and user that perfectly determine that whether an access point with which the user has connected is the legitimate access point or a unauthorized access point. In this paper we are implementing concept using .Net framework and sql server, Which gives us the characteristics like robust, accuracy and effectiveness for detecting rogue or unauthorized access point without getting any help from WLAN administrator. In this simulation technique we will get accurate values so that we can distinguish between rogue access point and legitimate access point Keywords— WLAN, APs, RAP, LAN
MACHINE LEARNING AND DEEP LEARNING MODEL-BASED DETECTION OF IOT BOTNET ATTACKS.IRJET Journal
This document discusses machine learning and deep learning models for detecting IoT botnet attacks. It begins with an abstract that outlines the challenges of securing the growing number of IoT devices and describes how machine learning and deep learning techniques like LSTM RNN can be used to develop effective detection systems. The introduction provides background on botnets, distributed denial of service attacks, and the need for detection systems. The literature review then summarizes several previous works that used techniques such as Bayesian classifiers, random neural networks, decision trees, and other machine learning algorithms for attack detection. The methodology section outlines the general approach of anomaly-based intrusion detection systems and different learning methods. The experimental setup describes collecting and preprocessing data, feature extraction, model training and evaluation
Identifying Malicious Data in Social MediaIRJET Journal
This document discusses two approaches for identifying malicious data in social media: Shannon entropy and power law distribution. The Shannon entropy approach calculates the entropy of features like source/destination IP addresses and port numbers to detect anomalous network traffic patterns. The power law distribution approach models malware propagation across networks and finds that malware distribution transitions from exponential to power law over time. Experimental results on social media datasets found the Shannon entropy approach could detect malware based on the number of applications installed, while power law distribution identified good and malicious files shared between users. Both techniques aim to improve detection of malicious content shared over social networks.
IRJET- Monitoring and Detecting Abnormal Behaviour in Mobile Cloud Infrastruc...IRJET Journal
This document presents a new mobile cloud infrastructure that combines mobile devices and cloud services to provide virtual mobile instances through cloud computing. It discusses possible security threats in this new infrastructure and proposes an architecture to detect abnormal behavior. Machine learning techniques like random forest algorithms are used to test the methodology. The system aims to address challenges in existing systems and provide end-to-end security and abnormal behavior detection in the mobile cloud without requiring specific software installation on user devices.
Wireless Sensor Network: Internet Model Layer Based Security Attacks and thei...IRJET Journal
The document discusses security attacks on wireless sensor networks, describing various types of attacks like jamming, impersonation, replay attacks, and denial of service attacks that can occur at different layers of the network. It analyzes key security objectives for wireless sensor networks like availability, authentication, integrity, and confidentiality. The document also outlines the architecture of wireless sensor networks, including the five layers of the OSI model and three cross-layer planes, and components of sensor nodes.
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.
Self Adaptive Automatch Protocol for Batch Identification Mechanism in Wirele...IRJET Journal
This document discusses a self-adaptive automatch protocol for batch identification in wireless mobile networks. It proposes two algorithms, Condensed Binary Identification (CBI) and Multiple Rounds Identification (MRI), to improve the performance of identifying invalid signatures when batch verification fails at the receiver or sink node. The system forms nodes, transmits encrypted messages through intermediate nodes which may include attackers, and uses the sink node to perform batch verification and identify invalid signatures using the most suitable identification algorithm based on the transaction history of attackers.
An Enhanced Technique for Network Traffic Classification with unknown Flow De...IRJET Journal
This document presents a technique for classifying network traffic and detecting unknown flows in wireless sensor networks. The technique aims to improve on previous work by using fewer labeled training samples and investigating flow correlation in real-world network environments. It proposes a method that selects a sender and receiver node, establishes a path between them by avoiding faulty nodes, and evaluates the system based on propagation rate, training purity, and accuracy. The results show the proposed method achieves higher propagation rate, training purity, and overall accuracy compared to an existing semi-supervised technique.
Survey of Clustering Based Detection using IDS Technique IRJET Journal
This document discusses intrusion detection systems (IDS) and different techniques used for IDS, including clustering-based detection. It first provides background on IDS, describing their purpose of detecting intruders and protecting systems. It then outlines various IDS types, including mobile agent-based, cluster-based, cryptography-based, and others. The document also summarizes related work from other papers applying data mining techniques like clustering to improve IDS detection rates and reduce false alarms. Finally, it discusses problems with current and traditional IDS, such as threshold detection leading to false positives, and false negatives where attacks are missed.
Novel Method to Overcome Vulnerability in Wi-Fi NetworkIRJET Journal
This document proposes a novel method called Basil's Numbering Scheme (BNS) to overcome denial-of-service (DoS) attacks in Wi-Fi networks. In a BNS, the source node checks if communicating nodes are authorized using an Intruder Check Table. For suspicious packets, BNS redirects them and asks the user to enter a custom initial sequence number rather than a random one. This makes it difficult for hackers to predict sequence numbers and launch MAC spoofing attacks. Simulations show that under DoS attack, BNS improves throughput to near 100% and reduces packet loss compared to no security method.
This document summarizes an article from the International Journal of Computer Engineering and Technology about enhancing power-aware hybrid intrusion detection architecture in an ad-hoc network using mobile agents. It discusses designing and implementing an energy-efficient anomaly-based cooperative intrusion detection system that applies mobile agent technology to minimize network load, conserve bandwidth, and improve reactivity. It also aims to minimize energy consumption of monitoring nodes using the Back-Propagation algorithm. The paper then presents a new approach to intrusion detection system architecture in ad-hoc networks using mobile agents to determine which network events need monitoring and where.
Wireless ad hoc networks are autonomous nodes that communicate with each other in a
decentralized manner through multi hop radio network. Wireless nodes form a dynamic network
topology and communicate with each other directly without wireless access point. Wireless networks
are particularly vulnerable to intrusions, as they operate in open medium, and use cooperative
strategies for network communication.
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.
IRJET- Detection and Localization of IDS Spoofing Attack in Wireless Sensor N...IRJET Journal
This document proposes using intrusion detection systems and k-means clustering to detect and localize spoofing attacks in wireless sensor networks used in vehicular networks (VANETs). VANETs have characteristics like highly dynamic topology and frequent link changes that make performance monitoring difficult. The proposed approach uses cluster heads acting as IDS to monitor packet transmissions within clusters and detect misbehaving nodes. When an attacker is detected, an alarm is passed to the source node to eliminate the attacker. Simulation results show the method can efficiently and robustly detect and locate spoofing attackers in VANET wireless sensor networks.
Revisiting the experiment on detecting of replay and message modificationiaemedu
This document summarizes a research paper that proposes methods for detecting message modification and replay attacks in ad-hoc wireless networks. It begins with background on security issues in wireless networks and types of attacks. It then reviews existing intrusion detection systems and security techniques. Related work that detects attacks using features from the media access control layer or radio frequency fingerprinting is also discussed. The paper aims to present a simple, economical, and platform-independent system for detecting message modification, replay attacks, and unauthorized users in ad-hoc networks.
A New Way of Identifying DOS Attack Using Multivariate Correlation Analysisijceronline
This document summarizes a research paper that proposes a new method for identifying denial of service (DoS) attacks using multivariate correlation analysis (MCA). The method involves three main steps: 1) generating basic features from network traffic, 2) using MCA to extract correlations between features and generate triangle area maps, and 3) using an anomaly-based detection mechanism to distinguish attacks from normal traffic based on differences from pre-generated normal profiles. The researchers evaluate their method on the KDD Cup 99 dataset and achieve moderate detection performance. However, they identify issues related to differences in feature scales that reduce detection of some attacks. They propose using statistical normalization to address this.
Similar to A survey on evil twin detection methods for wireless local area network (20)
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Support en anglais diffusé lors de l'événement 100% IA organisé dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 :
- Présentation de notre plateforme IA plug and play : ses fonctionnalités avancées, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants.
- REX client : Cyril Janssens, CTO d’ easybourse, partage son expérience d’utilisation de notre plateforme IA plug & play.
Best Programming Language for Civil EngineersAwais Yaseen
The integration of programming into civil engineering is transforming the industry. We can design complex infrastructure projects and analyse large datasets. Imagine revolutionizing the way we build our cities and infrastructure, all by the power of coding. Programming skills are no longer just a bonus—they’re a game changer in this era.
Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.
Choose our Linux Web Hosting for a seamless and successful online presencerajancomputerfbd
Our Linux Web Hosting plans offer unbeatable performance, security, and scalability, ensuring your website runs smoothly and efficiently.
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Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
Mitigating the Impact of State Management in Cloud Stream Processing SystemsScyllaDB
Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states.
In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing.
Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...Toru Tamaki
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023
https://arxiv.org/abs/2307.12980
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.