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- W2149408934 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." @default.
- W2149408934 created "2016-06-24" @default.
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- W2149408934 date "2009-01-01" @default.
- W2149408934 modified "2023-10-16" @default.
- W2149408934 title "Distributed Detection of Attacks in Mobile Ad Hoc Networks Using Learning Vector Quantization" @default.
- W2149408934 cites W2115665135 @default.
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- W2149408934 doi "https://doi.org/10.1109/nss.2009.99" @default.
- W2149408934 hasPublicationYear "2009" @default.
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