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Distributed Detection of Attacks in Mobile Ad Hoc Networks Using Learning Vector Quantization

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1 Author(s)
James Cannady ; Nova Southeastern Univ., Fort Lauderdale, FL, USA

This paper describes the latest results of a research program that is designed to enhance the security of wireless mobile ad hoc networks (MANET) by developing a distributed intrusion detection capability. The current approach uses learning vector quantization neural networks that have the ability to identify patterns of network attacks in a distributed manner. This capability enables this approach to demonstrate a distributed analysis functionality that facilitates the detection of complex attacks against MANETs. The results of the evaluation of the approach and a discussion of additional areas of research is presented.

Published in:

Network and System Security, 2009. NSS '09. Third International Conference on

Date of Conference:

19-21 Oct. 2009