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42 results for “Intrusion Detection System (IDS)”
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Research ArticleOpen accessIn the abstractREVIEW CLUSTERING MECHANISMS OF DISTRIBUTED DENIAL OF SERVICE ATTACKSWesam Bhaya, Mehdi Ebady ManaaDistributed Denial of Service attacks (DDoS) overwhelm network resources with useless or harmful packets and prevent normal users from accessing these network resources. These attacks jeopardize the confidentiality, privacy and integrity of information on the internet. Since it is very difficult to set any predefined rules to correctly identify genuine network traffic, an anomaly-based Intrusion Detection System (IDS) for network … …Journal of Computer Science, Vol. 10, Issue 10 · 26 Jun 2014 · 7,635 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Role of Intrusion Detection System for Wireless Lan Using Various Schemes and Related IssuesKamalanaban Ethala, R. Seshadri, N. G. Renganathan, M. S. SaravananThe advancement in network based technology and augmented dependability of our everyday life on this technology. During recent years, number of attacks on networks has intensely increased. Hence interest in network intrusion detection has increased among the researchers. This study assesses different kinds of IDS and inclines preemptive procedures. An Intrusion Detection System (IDS) is used to automate the intrusion … …American Journal of Applied Sciences, Vol. 10, Issue 9 · 24 Aug 2013 · 7,166 accessesView PDFCite
Research ArticleOpen accessIn the abstractA LEADER BASED MONITORING APPROACH FOR SINKHOLE ATTACK IN WIRELESS SENSOR NETWORKD. Udaya Suriya Rajkumar, Rajamani VayanaperumalSecurity is one of an important factor to be considered seriously in wireless sensor networks. In WSN, in many ways intrusion may occur, in the past decades there is no perfect IDS, without any wasting of resources like time, energy, cost and number of physical items. The main objective is to ensure the security and improve the quality of network … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,911 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe use of Random Forest Classification and K-means Clustering Algorithm for Detecting Time Stamped Signatures in the Active NetworksKamalanaban Ethala, R. Shesadri, N. G. RenganathanIn day to day information security infrastructure, intrusion detection is indispensible. Signature based intrusion detection system mechanisms are often available in detecting many types of attacks. But this mechanism alone is not sufficient in many cases. Another intrusion detection method viz K-means is employed for clustering and classifying the unlabelled data. IDS is a special embedded device or relied software … …Journal of Computer Science, Vol. 9, Issue 7 · 18 Jun 2013 · 7,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Clustering in Designing a Fuzzy Based Hybrid Intrusion Detection System for Mobile Ad Hoc NetworksD. Vydeki, R. S. BhuvaneswaranIntrusion Detection System (IDS) provides additional security for the most vulnerable Mobile Adhoc Networks (MANET). Use of Fuzzy Inference System (FIS) in the design of IDS is proven to be efficient in detecting routing attacks in MANETs. Clustering is a vital means in the detection process of FIS based hybrid IDS. This study describes the design of such a system … …Journal of Computer Science, Vol. 9, Issue 4 · 14 May 2013 · 6,469 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch Proposal: An Intrusion Detection System Alert Reduction and Assessment Framework Based on Data MiningKarim Al-Saedi, Selvakumar Manickam, Sureswaran Ramadass et al.The Intrusion Detection System (IDS) generates huge amounts of alerts that are mostly false positives. The abundance of false positive alerts makes it difficult for the security analyst to identify successful attacks and to take remedial actions. Such alerts to have not been classified in accordance with their degree of threats. They further need to be processed to ascertain the … …Journal of Computer Science, Vol. 9, Issue 4 · 8 May 2013 · 7,709 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid of Fuzzy Clustering Neural Network Over NSL Dataset for Intrusion Detection SystemDahlia Asyiqin Ahmad Zainaddin, Zurina Mohd HanapiIntrusion Detection System (IDS) is one of the component that take part in the system defence, to identify abnormal activities happening in the computer system. Nowadays, IDS facing composite demands to defeat modern attack activities from damaging the computer systems. Anomaly-Based IDS examines ongoing traffic, activity, transactions and behavior in order to identify intrusions by detecting anomalies. These technique identifies … …Journal of Computer Science, Vol. 9, Issue 3 · 4 May 2013 · 6,574 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating 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 abstractA Novel Local Network Intrusion Detection System Based on Support Vector MachineMuamer N. Mohammad, Norrozila Sulaiman, Emad T. KhalafProblem statement: Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable Intrusion Detection Systems (IDS). Many methods and techniques were used for modeling the IDS, but some of them contribute little or not to resolve it. Approach: Intrusion detection system for local area network by using Support Vector Machines (SVM) was … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 7,313 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Location aided Cluster Based Routing Protocol with Intrusion Detection System in Mobile Ad Hoc NetworksS. Mangai, A. TamilarasiProblem statement: Routing and security are the main challenges for ad hoc networks due to dynamic topology as well as resource constraints. A designed protocol must provide scalable routing with better security. Lack of any central coordination and shared wireless medium makes them more vulnerable to attacks than wired networks. And also resource constraints such as limited energy and size … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,103 accessesView PDFCite