802.11 De-authentication Attack Detection using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{eurogp06:LaRocheZincir-Heywood,

• author = "Patrick LaRoche and A. Nur Zincir-Heywood",
• title = "802.11 De-authentication Attack Detection using Genetic Programming",
• editor = "Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art",
• booktitle = "Proceedings of the 9th European Conference on Genetic Programming",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3905",
• year = "2006",
• address = "Budapest, Hungary",
• month = "10 - 12 " # apr,
• organisation = "EvoNet",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-33143-3",
• pages = "1--12",
• DOI = "doi:10.1007/11729976_1",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• abstract = "This paper presents a genetic programming approach to detect deauthentication attacks on wireless networks based on the 802.11 protocol. To do so we focus on developing an appropriate fitness function and feature set. Results show that the intrusion system developed not only performs incredibly well - 100 percent detection rate and 0.5 percent false positive rate - but also developed a solution that is general enough to detect similar attacks, such as disassociation attacks, that were not present in the training data.",
• notes = "Part of \cite{collet:2006:GP} EuroGP'2006 held in conjunction with EvoCOP2006 and EvoWorkshops2006",

}

Genetic Programming entries for Patrick LaRoche Nur Zincir-Heywood

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