Genetic Programming Based WiFi Data Link Layer Attack Detection

Authors:
Patrick LaRoche;A. Nur Zincir-Heywood
Affiliations:
Dalhousie University, Canada;Dalhousie University, Canada
Venue:
CNSR '06 Proceedings of the 4th Annual Communication Networks and Services Research Conference
Year:
2006

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Abstract

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%.