PET: A PErsonalized Trust Model with Reputation and Risk Evaluation for P2P Resource Sharing
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
C-index: trust depth, trust breadth, and a collective trust measurement
Proceedings of the hypertext 2008 workshop on Collaboration and collective intelligence
HIDS: Honesty-Rate Based Collaborative Intrusion Detection System for Mobile Ad-Hoc Networks
CISIM '08 Proceedings of the 2008 7th Computer Information Systems and Industrial Management Applications
A trust model based on fuzzy recommendation for mobile ad-hoc networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 02
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This paper aims to propose a new trust-based Intrusion Detection system (IDS) for wireless, ad-hoc networks with or without mobility of nodes. In fact, the proposed solution not only detects intrusions but also proactively responds towards route setup avoiding the compromised nodes. It could be extended for mesh or hybrid networking environment too. Trust is evaluated as the weighted sum of direct evaluation of the neighboring nodes as well as from the indirect references. A sliding window is defined on the time scale and the IDS is to be evoked after every time slice. Indirect reference is derived from the recommendations of those 1---hop neighbors of the target node that are also neighbors of the evaluating node. The performance of the proposed algorithm has been evaluated using the Qualnet network simulator. Simulation results also establish superiority of the proposed algorithm over HIDS, another recent trust-based IDS for wireless ad-hoc network.