Artificial immune system based intrusion detection system

Authors:
Vadim D. Kotov;Vladimir I. Vasilyev
Affiliations:
Ufa State Aviation Technical Univercity, Ufa, Russian Fed.;Ufa State Aviation Technical Univercity, Ufa, Russian Fed.
Venue:
Proceedings of the 2nd international conference on Security of information and networks
Year:
2009

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Intrusion detection using sequences of system calls

Journal of Computer Security

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Abstract

In this work the intrusion detection system (IDS) based on artificial immune systems is presented. This IDS traces sequences of applications system calls and then uses the negative selection algorithm to detect changes in the normal system behavior. It works on MS Windows operation system. This IDS also shows a high performance on local area networks when artificial immune systems on each station work together. Because of that defense of the network increases. The network variant of IDS uses adaptation algorithm that improves the performance of every separate station.