Is AIS based misbehavior detection suitable for wireless sensor networks?

IEEE Wireless Communications and Networking Conference, WCNC

Volumn , Issue , 2007, Pages 3128-3133

  Drozda, Martin ^a   Schaust, Sven ^a   Szczerbicka, Helena ^a  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AD HOC NETWORKS; ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; IMMUNOLOGY;

ARTIFICIAL IMMUNE SYSTEMS (AIS); COMPUTATIONAL COSTS; END-TO-END CONNECTION INFORMATION; MISBEHAVIOR DETECTION;

WIRELESS SENSOR NETWORKS;

EID: 36349036705     PISSN: 15253511     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCNC.2007.578     Document Type: Conference Paper

References (16)

1. Crossbow Technology Inc. www.xbow.com
2. Uwe Aickelin, Julie Greensmith, Jamie Twycross. Immune System. Approaches to Intrusion Detection - A Review. Proc. the 3rd International Conference on Artificial Immune Systems (ICARIS 2004), 2004.
3. U. Aickelin, P. Bentley, S. Cayzer, J. Kim, and J. McLeod. Danger theory: The link between ais and ids. Proc. International Conference on Artificial Immune Systems (ICARIS'03), 2003.
4. J. Balthrop, S. Forrest, M. Glickman. Revisiting lisys: Parameters and normal behavior. Proc. Congress on Evolutionary Computing (CEC02), 2002.
5. C. L. Barrett, M. Drozda, D. C. Engelhart, V. S. Anil Kumar, M. V. Marathe, M. M. Morin, S. S. Ravi, J. P. Smith, Understanding Protocol Performance and Robustness of Ad Hoc Networks Through Structural Analysis. Proc. IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2005), 2005.
6. D'haeseleer, P., Forrest, S., and Helman, P. An immunological approach to change detection: Algorithms, analysis and implications. Proc. IEEE Symposium on Research in Security and Privacy, 1996.
7. M. Drozda, H. Szczerbicka. Artificial Immune Systems: Survey and Applications in Ad Hoc Wireless Networks. Proc. 2006 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS'06), 2006.
8. S. Hofmeyr, S. Forrest. Immunity by Design: An Artificial Immune System. Proc. Genetic and Evolutionary Computation Conference (GECCO-1999), 1999.
9. D. Johnson, D. Maltz. Dynamic Source Routing in Ad Hoc Wireless Networks. Mobile Computing, Tomasz Imielinski and Hank Korth, Eds. Chapter 5, pp. 153-181, Kluwer Academic Publishers, 1996.
10. Zhang, Y. and Lee, W. and Huang, Y.A. Intrusion Detection Techniques for Mobile Wireless Networks. Wireless Networks (WINET), vol. 9, no. 5, pp. 545-556, 2003.
11. Karl, H., Willig, A. Protocols and Architectures for Wireless Sensor-Networks. John Wiley & Sons, 2005.
12. Kim, J., Bentley, P. J. Evaluating Negative Selection in an Artificial Immune System for Network Intrusion Detection, Proc. Genetic and Evolutionary Computation Conference 2001 (GECCO-2001), 2001.
13. Sergio Marti, T. J. Giuli, Kevin Lai and Mary Baker. Mitigating routing misbehavior in mobile ad hoc networks. Proc. the. 6th annual international conference on Mobile Computing and Networking, 2000.
14. James P. G. Sterbenz, Rajesh Krishnan, Regina Rosales Hain, Alden W. Jackson, David Levin, Ram Ramanadian, John Zao. Survivable mobile wireless networks: issues, challenges, and research directions. Proc. ACM workshop on Wireless security, 2002.
15. Slaviša Sarafijanović, Jean-Yves Le Boudec. An Artificial Immune System for Misbehavior Detection in Mobile Ad-Hoc Networks with Virtual Thymus, Clustering, Danger Signal and Memory Detectors. Proc. the 3rd International Conference on Artificial Immune Systems (ICARIS 2004), 2004.
16. Jean-Yves Le Boudec, Slaviša Sarafijanović. An Artificial Immune System Approach to Misbehavior Detection in Mobile Ad-Hoc Networks. Proc. Bio-ADIT'04, 2004.