Genetic Programming Based WiFi Data Link Layer Attack Detection

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%.

• Type: Conference
• Year: 2006
• Where: CNSR
• Authors: Patrick LaRoche, A. Nur Zincir-Heywood
• Keywords: CNSR 2006, Detection Rate, False Positive Rate, Programming Based Detection