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CCE Faculty Articles
Distributed Detection of Attacks in Mobile Ad-Hoc Networks Using Learning Vector Quantization
Document Type
Article
Publication Title
2009 Third International Conference on Network and System Security
Event Date/Location
Gold Coast, Australia / 2009
ISSN
978-1-4244-5087-9
Publication Date
11-2009
Abstract
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.
DOI
10.1109/NSS.2009.99
First Page
571
Last Page
574
NSUWorks Citation
Cannady, James D. Jr., "Distributed Detection of Attacks in Mobile Ad-Hoc Networks Using Learning Vector Quantization" (2009). CCE Faculty Articles. 454.
https://nsuworks.nova.edu/gscis_facarticles/454