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Genetic Programming Based WiFi Data Link Layer Attack Detection
4th Annual Communication Networks and Services Research Conference (CNSR'06)
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This paper presents a genetic programming based detection system for Data Link layer attacks on a WiFi network. We explore the use of two different fitness functions in order to achieve both a high detection rate and a low false positive rate. Results show that the detection system developed can achieve a detection rate above 90% and a false positive rate below 1%.
doi:10.1109/cnsr.2006.30
dblp:conf/cnsr/LaRocheZ06
fatcat:5ukzz6rmxnggtnxyg7spcmxv34