802.11 network intrusion detection using genetic programming

GECCO 2005 - Genetic and Evolutionary Computation Conference

Volumn 2005-January, Issue , 2005, Pages 170-171

  Laroche, Patrick ^a   Zincir Heywood, A Nur ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

802.11; denial of service; genetic programming; intrusion detection; WiFi

Indexed keywords

DENIAL-OF-SERVICE ATTACK; GENETIC ALGORITHMS; IEEE STANDARDS; INTRUSION DETECTION; NETWORK SECURITY; PATTERN RECOGNITION; WIRELESS LOCAL AREA NETWORKS (WLAN);

802.11; 802.11 NETWORKS; DENIAL OF SERVICE; INTRUSION DETECTION SYSTEMS; INTRUSION-DETECTION; NETWORK DATA; NETWORK INTRUSION DETECTION; SYSTEM USE; TRAINING PHASIS; WIFI;

GENETIC PROGRAMMING;

EID: 85139567592     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1102256.1102295     Document Type: Conference Paper

References (8)

1. AusCERT. Denial of Service Vulnerability in IEEE 802.11 Wireless Devices. AusCERT AA-2004.02, Australian Computer Emergency Response Team, http://www.auscert.org.au/render.html?it=4091, 13 May 2004.
2. IEEE-SA Standards Board. ANSI/IEEE Std 802.11, 1999 Edition (R2003). IEEE, New York, NY, USA, 1999.
3. J.Bellardo and S.Savage. 802.11 denial-of-service attacks: real vulnerabilities and practical solutions. In USENIX Security Symposium, pages 15-28, 2003.
4. R. Lfoeter. Wireless Lan Security Framework htttp://www.wlsec.net/void11/, 2002.
5. M. Lynn and R. Baird. Advanced 802.11 attack. Black hat Briefings, July 2002.
6. D. Song, R. Curry, M. I. Heywood, and A. N. Zincir-Heywood. On the efficient mining of network audit data using genetic programming. In GECCO 2004 Workshop Proceedings, Seattle, Washington, USA, 26-30 June 2004.
7. D. Song, M. I. Heywood, and A. N. Zincir-Heywood. A linear genetic programming approach to intrusion detection. In Genetic and Evolutionary Computation-GECCO-2003, volume 2724 of LNCS, pages 2325-2336, Chicago, 12-16 July 2003. Springer-Verlag.
8. S. T, L. Y.-X., and H. Owen. Wireless Intrusion Detection and Response: A case study using the classic man-in-the-middle attack. In IEEE Wireless Communications and Networking Conference, Atlanta Ga., March 2004.