Title :
Genetic programming based WiFi data link layer attack detection
Author :
LaRoche, Patrick ; Zincir-Heywood, A. Nur
Author_Institution :
Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS
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%
Keywords :
genetic algorithms; security of data; telecommunication security; wireless LAN; WiFi network; data link layer attack; detection system; genetic programming; Computer science; Data mining; Genetic algorithms; Genetic programming; Intrusion detection; Local area networks; Machine learning; TCPIP; Wireless application protocol; Wireless networks;
Conference_Titel :
Communication Networks and Services Research Conference, 2006. CNSR 2006. Proceedings of the 4th Annual
Conference_Location :
Moncton, NB
Print_ISBN :
0-7695-2578-4
DOI :
10.1109/CNSR.2006.30
