Genetic programming based WiFi data link layer attack detection

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%