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Proceedings Paper

Exploring social relations for the intrusion detection in ad hoc networks
Author(s): Wei Wang; Hong Man
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Paper Abstract

We proposed a novel intrusion detection system in mobile ad hoc networks using the social network analysis approach, which is different from the conventional ones. Our social based IDS utilizes explored social relations for anomaly detections, which can capture and represent similar network statistics as those used in data mining based intrusion detection systems. Simulation results show that this social based IDS can effectively detect attacks with high detection rates and low false alarm rates. Further more, our system is of simpler implementation and lower system complexity than rule based anomaly IDS.

Paper Details

Date Published: 13 April 2009
PDF: 12 pages
Proc. SPIE 7344, Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009, 734402 (13 April 2009); doi: 10.1117/12.818142
Show Author Affiliations
Wei Wang, Stevens Institute of Technology (United States)
Hong Man, Stevens Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7344:
Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009
Belur V. Dasarathy, Editor(s)

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