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An Approach to Wireless Intrusion Detection System for Wireless Network based on Multiagent System of Ant Colony Optimization Algorithm

Published on None 2011 by Debananda Padhi, Debabrata Senapati
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2nd National Conference on Computing, Communication and Sensor Network
Foundation of Computer Science USA
CCSN - Number 1
None 2011
Authors: Debananda Padhi, Debabrata Senapati
eb2dc27c-aa57-4ea2-9bd6-0f59e5f2cee9

Debananda Padhi, Debabrata Senapati . An Approach to Wireless Intrusion Detection System for Wireless Network based on Multiagent System of Ant Colony Optimization Algorithm. 2nd National Conference on Computing, Communication and Sensor Network. CCSN, 1 (None 2011), 13-18.

@article{
author = { Debananda Padhi, Debabrata Senapati },
title = { An Approach to Wireless Intrusion Detection System for Wireless Network based on Multiagent System of Ant Colony Optimization Algorithm },
journal = { 2nd National Conference on Computing, Communication and Sensor Network },
issue_date = { None 2011 },
volume = { CCSN },
number = { 1 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 13-18 },
numpages = 6,
url = { /specialissues/ccsn/number1/4166-ccsn004/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 2nd National Conference on Computing, Communication and Sensor Network
%A Debananda Padhi
%A Debabrata Senapati
%T An Approach to Wireless Intrusion Detection System for Wireless Network based on Multiagent System of Ant Colony Optimization Algorithm
%J 2nd National Conference on Computing, Communication and Sensor Network
%@ 0975-8887
%V CCSN
%N 1
%P 13-18
%D 2011
%I International Journal of Computer Applications
Abstract

Various approaches to Intrusion Detection are currently being used, but they are relatively ineffective in finding the intruder. Wireless networks are particularly vulnerable to intrusion, as they operate in open medium, and use cooperative strategies for network communications. Artificial Intelligence plays a driving role in security services. In a multisensory wireless networks the sensor are behaves like an agents, and each agent works cooperatively with each other and communicate or report the intruder details of the intruder to the administrator. An Intelligent multi agent searching approach is best suite with the natural phenomenon of Ant Colony Optimization algorithm. In this approach ants will search aimlessly until they find food, once they do , they will return to the colony the fastest way they know how, and they will mark their path with pheromone trail. We propose the implementation of ACO algorithm to optimize the multi agent sensor based Wireless Intrusion Detection System aspects.

References
  1. Oleg Kachirski, Ratan Guha “Effective Intrusion Detection Using Multiple Sensors”, Proceedings of the 36th Hawaii International Conference on System Sciences - 2003 in Wireless Ad Hoc Networks
  2. Jansen, “Intrusion Detection with Mobile Agents”, Computer Communications,Volume 25, Issue 15, 15 Sep 2002, Pages1392-1401.
  3. Mei-Ling Shyu and Varsha Sainani, “A Multiagent-based Intrusion Detection System with the Support of Multi-Class Supervised Classification”
  4. Marco Dorigo and Thomas Stützle “Ant Colony Optimization “,
  5. N.Jaisankar, R.Saravanan, K. Durai Swamy “INTELLIGENT INTRUSION DETECTION SYSTEM FRAMEWORK USING MOBILE AGENTS” International Journal of Network Security & Its Applications (IJNSA), Vol 1, No 2, July 2009
  6. 6 Crossbow Technology, Inc. MICA2, Wireless Measurement System.
  7. Soumya Banerjee, Crina Grosan and Ajith Abraham”IDEAS: Intrusion Detection based on Emotional Ants for Sensors”
  8. Y. Zhang and W. Lee. “Intrusion Detection Techniques for Mobile Wireless Networks”. ACM/Kluwer Wireless Networks Journal, 9(5):545- 556, September 2003.
  9. J. Kong, H. Luo, K. Xu, D. L. Gu, M. Gerla, and S. Lu. “Adaptive Security for Multi-Layer Ad-Hoc Networks”. Special Issue of Wireless Communications and Mobile Computing, 2002.
  10. P. Albers, O. Camp, J. Percher, B. Jouga, L. Me, and R. Puttini. “Security in ad hoc Networks: A General Intrusion Detection Architecture Enhancing Trust Based Approaches”. 1st International Workshop on Wireless Information Systems (WIS’02), April 2002.
  11. C. Karlof and D. Wagner.”Secure Routing in Wireless Sensor Networks: Attacks and Countermeasures”. 1st IEEE International Workshop on Sensor Network Protocols and Applications, May 2003.
  12. M. Dorigo, A. Colorni, and V. Maniezzo, “The ant system: Optimization by a colony of cooperating agents” IEEE Trans. Syst. Man Cybern. B, vol. 26, pp. 29–41, Feb. 1996.
  13. M. Dorigo, G. Di Caro, and L. M. Gambardella, “Ant algorithms for discrete optimization” Artif. Life, vol. 5, no. 2, pp. 137–172, 1999.
  14. A. Colorni, M. Dorigo, and V. Maniezzo, “Distributed optimization by ant colonies” in Proc. ECAL91—Eur. Conf. Artificial Life. New York: Elsevier, 1991, pp. 134–142.
  15. Rodrigo Roman, Jianying Zhou, Javier Lopez “Applying Intrusion Detection Systems to Wireless Sensor Networks”
  16. M. Dorigo, V. Maniezzo, and A. Colorni, “The ant system: Optimizationby a colony of cooperating agents” IEEE Trans. Syst, Man, Cybern. B, vol. 26, no. 2, pp. 29–41, 1996.
  17. V. Maniezzo, A. Colorni, and M. Dorigo, “The ant system applied to the quadratic assignment problem” Universit´e Libre de Bruxelles, Belgium, Tech. Rep. IRIDIA/94-28, 1994.
  18. L. M. Gambardella, E. Taillard, and M. Dorigo, “Ant colonies for QAP” IDSIA, Lugano, Switzerland, Tech. Rep. IDSIA 97-4, 1997.
  19. RS Parpinelli, HS Lopes, AA Freitas "Data Mining With an Ant Colony Optimization Algorithm"- IEEE Transactions on Evolutionary Computation, 2002
  20. Richard A. Wasniowski “Multisensor Agent Based Intrusion Detection”
  21. Ioannis Krontiris, Zinaida Benenson,_, Thanassis Giannetsos,Felix C. Freiling, and Tassos Dimitriou “Cooperative Intrusion Detection in Wireless Sensor Networks”.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Network Intrusion Detection System Multi Agents Multi sensors