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Feature Selection in Intrusion Detection System Over Mobile Ad-Hoc Network

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11 out of 20 users found this white paper useful


Publisher Iowa State University
Publisher Registration N/A
Topics Software Engineering, Mobile - Wireless Communications, Intrusion Detection Systems Date added 19 Jan 2007
Downloads 9 Format 76.2KB PDF

As Mobile Ad-hoc Network (MANET) has become a very important technology the security problem, especially, intrusion detection technique research has attracted many people's effort. MANET is more vulnerable than wired network and suffers intrusion like wired network. This paper investigated some intrusion detection techniques using machine learning and proposed a profile based neighbor monitoring intrusion detection method. Further analysis shows that the features collected by each node are too many for wireless devices with limited capacity.

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11 out of 20 users found this white paper useful


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