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Efficient clustering approach for intrusion detection in adhoc networks

Samad, Kashan, Ahmed, Ejaz, Mahmood, Waqar, Sharif, Kashif, & Chaudhry, Ahsan A. (2005) Efficient clustering approach for intrusion detection in adhoc networks. In Proceedings of Engineering Sciences and Technology, 2005. SCONEST 2005. Student Conference on, IEEE, NED University of Engineering and Technology, Karachi, pp. 1-6.

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Abstract

Mobile ad-hoc networks (MANETs) are temporary wireless networks useful in emergency rescue services, battlefields operations, mobile conferencing and a variety of other useful applications. Due to dynamic nature and lack of centralized monitoring points, these networks are highly vulnerable to attacks. Intrusion detection systems (IDS) provide audit and monitoring capabilities that offer the local security to a node and help to perceive the specific trust level of other nodes. We take benefit of the clustering concept in MANETs for the effective communication between nodes, where each cluster involves a number of member nodes and is managed by a cluster-head. It can be taken as an advantage in these battery and memory constrained networks for the purpose of intrusion detection, by separating tasks for the head and member nodes, at the same time providing opportunity for launching collaborative detection approach. The clustering schemes are generally used for the routing purposes to enhance the route efficiency. However, the effect of change of a cluster tends to change the route; thus degrades the performance. This paper presents a low overhead clustering algorithm for the benefit of detecting intrusion rather than efficient routing. It also discusses the intrusion detection techniques with the help of this simplified clustering scheme.

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ID Code: 33279
Item Type: Conference Paper
Keywords: Mobile Adhoc Networks, Cluster, Intrusion Detection
DOI: 10.1109/SCONEST.2005.4382879
ISBN: 9780780394421
Subjects: Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMMUNICATIONS TECHNOLOGIES (100500) > Wireless Communications (100510)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2005 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 29 Jul 2010 07:57
Last Modified: 11 Aug 2011 03:23

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