Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
802.11 network intrusion detection using genetic programming
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Architecture for an Artificial Immune System
Evolutionary Computation
Genetic Programming Based WiFi Data Link Layer Attack Detection
CNSR '06 Proceedings of the 4th Annual Communication Networks and Services Research Conference
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SSYM'03 Proceedings of the 12th conference on USENIX Security Symposium - Volume 12
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Proceedings of the 9th annual conference on Genetic and evolutionary computation
BeeAIS: artificial immune system security for nature inspired, MANET routing protocol, BeeADHoc
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
802.11 de-authentication attack detection using genetic programming
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
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In this paper we present an Artificial Immune System (AIS) based security framework, which prevents a number of serious Denial of Service (DoS) attacks. The proposed security framework can counter de-authentication and disassociation attacks. The results of our experiments clearly demonstrate that the proposed framework approximately achieved 100% detection rate with negligible false positive rate. One can conclude from the ROC (Receiver Operating Characteristics) plots of our AIS that its performance approaches 'perfect classification point' at a suitable matching threshold value.