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Mechanism design-based leader election scheme for intrusion detection in MANET

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Mechanism design-based leader election scheme for intrusion detection in MANET

Mohammed, Noman (2008) Mechanism design-based leader election scheme for intrusion detection in MANET. Masters thesis, Concordia University.

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Abstract

We study the leader election in the presence of selfish nodes for intrusion detection systems (IDS) in a mobile ad hoc network (MANET). To balance the resource consumption among all nodes and prolong the lifetime of a MANET, nodes with the most remaining resources should be elected as the leaders. However, without incentives for serving others, a node may behave selfishly by lying about its remaining resource and avoiding being elected. We present a solution based on mechanism design theory. More specifically, we design a scheme for electing cluster leaders that have the following two advantages: First, the collection of elected leaders is the optimal in the sense that the overall resource consumption will be balanced among all nodes in the network overtime. Second, the scheme provides the leaders with incentives in the form of reputation so that nodes are encouraged to honestly participate in the election process. The design of such incentives is based on the Vickrey, Clarke, and Groves (VCG) model by which truth-telling is the dominant strategy for each node. Simulation results show that our scheme can effectively prolong the overall lifetime of IDS in MANET and balance the resource consumptions among all the nodes.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Item Type:Thesis (Masters)
Authors:Mohammed, Noman
Pagination:ix, 91 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Institute for Information Systems Engineering
Date:2008
Thesis Supervisor(s):Debbabi, Mourad and Wang, Lingyu
ID Code:976201
Deposited By: Concordia University Library
Deposited On:22 Jan 2013 16:21
Last Modified:18 Jan 2018 17:42
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