Modelling misbehaviour in ad hoc networks: a game theoretic approach for intrusion detection

International Journal of Security and Networks

Volumn 1, Issue 3-4, 2006, Pages 243-254

  Liu, Yu ^a   Comaniciu, Cristina ^a   Man, Hong ^a  

^a Stevens Institute of Technology   (United States)

Author keywords

ad hoc network; attacker defender game; Bayesian game; non cooperative game; non zero sum game

Indexed keywords

EID: 67649498303     PISSN: 17478405     EISSN: 17478413     Source Type: Journal    
DOI: 10.1504/ijsn.2006.011784     Document Type: Article

References (27)

1. Agah, A., Das, S.K., Basu, K. and Asadi, M. (2004) ‘Intrusion detection in sensor networks: a non-cooperative game approach’, Proceedings of Third IEEE International Symposium on Network Computing and Applications (NCA’04), August–September, pp.343–346.
2. Alpcan, T. and Basar, T. (2003) ‘A game theoretic approach to decision and analysis in network intrusion detection’, Proceedings of 42nd IEEE Conference on Decision and Control (CDC), December, Vol. 3, pp.2595–2600.
3. Alpcan, T. and Basar, T. (2004) ‘A game theoretic analysis of intrusion detection in access control systems’, Proceedings of 43rd IEEE Conference on Decision and Control (CDC), December, Vol. 2, pp.1568–1573.
4. Anderson, D., Frivold, T. and Valdes, A. (1995) ‘Next-generation intrusion detection expert system (NIDES): a summary’, Computer Science Laboratory SRI-CSL-95-07, May.
5. Broch, J., Maltz, D., Johnson, D., Hu, Y-C. and Jetcheva, J. (1998) ‘A performance comparison of multi-hop wireless ad hoc network routing protocols’, Proceedings of Fourth Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom’98), October, pp.85–97.
6. Cai, J. and Pooch, U. (2004) ‘Allocate fair payoff for cooperation in wireless ad hoc networks using shapley value’, Proceedings of 18th International Parallel and Distributed Processing Symposium (IPDPS’04), April, p.219.
7. Deng, H., Zeng, Q. and Agrawal, D.P. (2003) ‘SVM-based intrusion detection sysem for wireless ad hoc networks’, Proceedings of 58th IEEE Vehicular Technology Conference (VTC’03), October, Vol. 3, pp.2147–2151.
8. Fudenberg, D. and Tirole, J. (1991) Game Theory, Cambridge, MA: The MIT Press.
9. Hu, Y-C. and Perrig, A. (2004) ‘A survey of secure wireless ad hoc routing’, IEEE Security and Privacy Magazine, May–June, Vol. 2, No. 3, pp.28–39.
10. Huang, Y. and Lee, W. (2003) ‘A cooperative intrusion detection system for ad hoc networks’, Proceedings of First ACM Workshop on Security of Ad Hoc and Sensor Networks, October, pp.135–147.
11. Huang, Y., Fan, W., Lee, W. and Yu, P.S. (2003) ‘Cross-feature analysis for detecting ad-hoc routing anomalies’, Proceedings of 23th International Conference on Distributed Computing Systems (ICDCS), May, pp.478–487.
12. Kachirski, O. and Guha, R. (2002) ‘Intrusion detection using mobile agents in wireless ad hoc networks’, Proceedings of the IEEE Workshop on Knowledge Media Networking, July, pp.153–158.
13. Kodialam, M. and Lakshman, T.V. (2003) ‘Detecting network intrusions via sampling: a game theoretic approach’, IEEE INFOCOM 2003, March–April, Vol. 3, pp.1880–1889.
14. Lee, W. and Stolfo, S.J. (2000) ‘Adaptive intrusion detection: a data mining approach’, ACM Transactions on Information and System Security (TISSEC), November, Vol. 3, No. 4, pp.227–261.
15. Li, Y., Wu, N., Wang, X.S. and Jajodia, S. (2002) ‘Enhancing profiles for anomaly detection using time granularities’, Journal of Computer Security, November, Vol. 10, pp.137–157.
16. Liu, Y. (2006) ‘Intrusion detection for wireless networks’, PhD Thesis, Stevens Institute of Technology, January.
17. Liu, Y., Li, Y. and Man, H. (2005a) ‘Short paper: a distributed cross-layer intrusion detection system for ad hoc networks’, Proceedings of IEEE/CreateNet the First International Conference on Security and Privacy for Emerging Areas in Communication Networks (SecureComm 2005), September, pp.418–420.
18. Liu, Y., Li, Y. and Man, H. (2005b) ‘MAC layer anomaly detection in ad hoc networks’, Proceedings of Sixth IEEE SMC Information Assurance Workshop, June, pp.402–409.
19. Liu, Y., Li, Y. and Man, H. (2006a) ‘A distributed cross-layer intrusion detection system for ad hoc networks’, Annals of Telecommunications, Hermes-Lavoisier, to appear.
20. Liu, Y., Li, Y., Man, H. and Jiang, H. (2006b) ‘A hybrid data mining anomaly detection technique in ad hoc networks’, International Journal of Wireless and Mobile Computing (IJWMC): Special Issue on Security of Computer Network and Mobile Systems, Inderscience Publishers, to appear.
21. Nurmi, P. (2004) ‘Modelling routing in wireless ad hoc networks with dynamic Bayesian games’, Proceedings of 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, IEEE SECON 2004, October, pp.63–70.
22. Patcha, A. and Park, J-M. (2004) ‘A game theoretic approach to modeling intrusion detection in mobile ad hoc networks’, Proceedings of Fifth Annual IEEE SMC Information Assurance Workshop, June, pp.280–284.
23. Porras, P.A. and Neumann, P.G. (1997) ‘EMERALD: event monitoring enabling responses to anomalous live disturbances’, Proceedings of 20th NIST-NCSC National Information Systems Security Conference, October, pp.353–365.
24. Srinivasan, V., Nuggehalli, V., Chiasserini, C-F. and Rao, R.R. (2005) ‘An analytical approach to the study of cooperation in wireless ad hoc networks’, IEEE Transactions on Communications, March, Vol. 4, No. 2, pp.722–733.
25. Tseng, C., Balasubramanyam, P., Ko, C., Limprasittiporn, R., Rowe, J. and Levitt, K. (2003) ‘A specification-based intrusion detection system for AODV’, Proceedings of First ACM Workshop on Security of Ad Hoc and Sensor Networks, October, pp.125–134.
26. Urpi, A., Bonuccelli, M. and Giordano, S. (2003) ‘Modelling cooperation in mobile ad hoc networks: a formal description of selfishness’, WiOpt’03 Workshop: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, March.
27. Xiao, Y., Shan, X. and Ren, Y. (2005) ‘Game theory models for IEEE 802.11 DCF in wireless ad hoc networks’, IEEE Radio Communications, March, Vol. 43, No. 3, pp.S22–S26.