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62 results for “Network Intrusion Detection”
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Research ArticleOpen accessEvery word in the titleEfficient Hybrid Network (Wired and Wireless) Intrusion Detection using Statistical Data Streams and Detection of Clustered AlertsP. Thangaraj, M. ThangavelProblem statement: Wireless LAN IEEE 802.11 protocols are growing rapidly and security has always been a concern with the security of wired network. Wireless networks encountered threats from unauthorized access to network resources, installation of access points and illegal sniffing (refer as classical intrusion threats). In its current hybrid wired and wireless network attacks on the generally distinguish from normal … …Journal of Computer Science, Vol. 7, Issue 9 · 30 Jul 2011 · 7,165 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Intrusion Detection System for Wireless Body Area Network in Health Care MonitoringT. V.P. Sundararajan, A. ShanmugamProblem statement: Health monitoring, telemedicine, military, interactive entertainment and portable audio/video systems were most promising applications where WBANs can be used. However, designers of such systems face a number of challenging tasks, as they need to address often quite conflicting requirements for size, operating time, precision and reliability. Network security is very important in Wireless Body Area Network (WBAN) since … …Journal of Computer Science, Vol. 6, Issue 11 · 26 Oct 2010 · 6,707 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnsemble Learning for Proactive Detection of Network-Intrusion-Based Insurance FraudBenjamin Asubam Weyori, Selorm Kofi Tagbo et al.We propose an ensemble learning pipeline that proactively integrates Stacking Feature Embedding (SFE) with Principal Component Analysis (PCA) and tree-based ensembles to proactively detect insurance fraud originating from network intrusions. The main contributions are: (1) the novel integration of SFE-PCA as a meta-feature construction step for tabular network flow data; (2) a sensitivity analysis that justifies PCA reduction ratios used … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 935 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleINTRUSION DETECTION IN MOBILE AD HOC NETWORK USING SECURE ROUTING FOR ATTACKER IDENTIFICATION PROTOCOLS. Gopalakrishnan, P. GaneshkumarIn past few decades, the migration of communication takes place from wired networks to wireless networks because of its mobility and scalability and Mobile Ad hoc Network (MANET) is a unique and significant application in recent years which does not necessitates any pre-existing network infrastructure. Each node can act as both transmitters as well as receivers that are communicating with … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 29 May 2014 · 6,715 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSECURITY IN VEHICULAR AD HOC NETWORK BASED ON INTRUSION DETECTION SYSTEMOmkar Pattnaik, Binod Kumar PattanayakImplementation of mobile ad hoc networks has eventually captured practically most of the parts of day-to-day life. One variation of such networks represents the Vehicular Ad Hoc Networks (VANETs), widely implemented in order to control day-to-day road traffic. The major concern of VANETs is oriented around providing security to moving vehicles that makes it possible to reduce accidents and traffic … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 27 Dec 2013 · 7,022 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFed-Deep CTRL (Light GBM)-Scalable, Interpretable, and Privacy-Preserving Federated Learning Framework for Wireless Intrusion Detection SystemSudaroli Vijayakumar, V. MuthumanikandanA learning-based intrusion detection system automates the understanding and reporting of network traffic information. The systems using neural networks and machine learning have demonstrated good detection accuracy, but the accuracy is entirely reliant on the type and volume of data. Additionally, there are issues with its scalability, privacy, efficiency, and interpretability. With the innovative fed-deep CTRL (light GBM) method, this … …Journal of Computer Science, Vol. 20, Issue 4 · 29 Feb 2024 · 5,321 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIoT Intrusion Detection using Auto-Encoder and Machine Learning TechniquesAhmed Ridha Khudhu, Khairulmizam SamsudinIoTnetwork refers to the capability of connecting smart and various devices to asingle network for the sake of performing a particular task. Similar toconventional networks, IoT networks are vulnerable to several attacks.Therefore, IoT Intrusion Detection has caught much research attention. Severalstudies have examined the task of intrusion detection for IoT networks. Withinsuch studies, the focus was set to accommodate a … …Journal of Computer Science, Vol. 18, Issue 10 · 27 Sep 2022 · 6,458 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluating the Strengths and Weaknesses of Mining Audit Data for Automated Models for Intrusion Detection in Tcpdump and Basic Security Module DataG. Mohammed Nazer, A. Arul Lawrence SelvakumarProblem statement: Intrusion Detection System (IDS) have become an important component of infrastructure protection mechanism to secure the current and emerging networks, its services and applications by detecting, alerting and taking necessary actions against the malicious activities. The network size, technology diversities and security policies make networks more challenging and hence there is a requirement for IDS which should be … …Journal of Computer Science, Vol. 8, Issue 10 · 25 Aug 2012 · 7,126 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBehaviour Based Worm Detection and Signature AutomationMohammed Anbar, Selvakumar Manickam, Al-Samarraie Hosam et al.Problem statement: A worm is a malicious piece of code that self-propagates, often via network connections, to exploit security flaws in computers connected through the network. In general, worms do not need any human intervention to propagate and are considered a real threat to network assets and the properties of organizations. An Intrusion Detection Systems (IDSs) are employed to detect … …Journal of Computer Science, Vol. 7, Issue 11 · 6 Sep 2011 · 6,895 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative Power Analysis of Precomputation Based Content Addressable MemoryM. Arun, A. KrishnanProblem statement: In this study we discus about Signature Detection Technique (SDT) used in Network Intrusion Detection System (NIDS). Design of SDT using Content Addressable Memory (CAM) is discussed. Approach: Two novel architectures, XOR and ones count based Pre computation CAM architectures are proposed and implemented in third party back end tool with 0.18 mm technology, power consumptions are compared. … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,598 accessesView PDFCite