Network security configurations: A nonzero-sum stochastic game approach

Proceedings of the 2010 American Control Conference, ACC 2010

Volumn , Issue , 2010, Pages 1059-1064

  Zhu, Quanyan ^a   Tembine, Hamidou ^b   Başar, Tamer ^a  

^a University of Illinois at Urbana Champaign   (United States)

^b UNIV PARIS SUD   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DETECTION SYSTEM; DISTRIBUTED INTRUSION DETECTION SYSTEMS; NASH EQUILIBRIUM; NONZERO-SUM STOCHASTIC GAMES; PERFORMANCE LIMITS; SECURITY CAPACITY; SECURITY TARGET; VALUE ITERATION;

COMPUTER CRIME; INFORMATION THEORY; INTRUSION DETECTION; MATHEMATICAL PROGRAMMING; STOCHASTIC SYSTEMS;

NETWORK SECURITY;

EID: 77957824022     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. de Albuquerque J. P., Isenberg H., Krumm H. and de Geus P. L. "Improving the Configuration Management of Large Network Security Systems", Ambient Networks, Lecture Notes in Computer Science, Springer, pp. 36-47, 2005.
2. Le T. and Hadjicostis C. H., "Graphical Inference for Multiple Intrusion Detection", IEEE Transaction on Information Forensics and Security, Vol. 3, no. 3, pp. 370-379, 2008.
3. Boutaba R. and Aib I., Policy-based Management: A Historical Perspective, Journal of Network and System Management, vol. 15, no. 4, pp. 447480, 2007.
4. L. Schaelicke, T. Slabach, B. Moore, and C. Freeland, Characterizing the Performance of Network Intrusion Detection Sensors, in Proceedings of Recent Advances in Intrusion Detection (RAID), 2003.
5. H. Debar, M. Dacier, and A. Wespi, Towards a Taxonomy of Intrusion Detection Systems, Computer Networks, vol. 31, no. 8, pp. 805822, 1999.
6. Huang J.W. and Krishnamurthy V., "Transmission control in cognitive radio systems with latency constraints as a switching control dynamic game," in IEEE Proceedings of 47th IEEE Conference on Decision and Control, pp.3823-3828, Dec. 2008.
7. Fudenberg D. and Tirole J., Game Theory, The MIT Press, 1991.
8. Raghavan T. E. S. and Filar J. A., Algorithms for Stochastic Games - A Survey, Methods and Models of Operations Research, 35:437-472.
9. Fink A.M., "Equilibrium in a Stochastic N-Person Game". J Sci in Hiroshima Univ., Series A-I. 28:89-93.
10. Takahashi M., "Equilibrium Points of Stochastic Non-cooperative N-Person Games", J Sci. Hiroshima University, Series A-I, 28:95-99.
11. Sobel M. J., "Myopic Solution of Markov Decision Processes and Stochastic Games", Operations Research, 29:995-1009, 1981.
12. Solan E. "Discounted Stochastic Games", Mathematics of Operations Research, 23, 1010-1021, 1998.
13. Tidball M. and Altman E., "Approximations in dynamic zero-sum games, I", SIAM J. Control and Optimization, Vol. 34, No. 1, pp. 311-328, 1996.
14. Filar J. and Vrieze K., Competitive Markov Decision Processes, Springer, 2006.
15. Başar T. and Olsder G. J., Dynamic Noncooperative Game Theory, SIAM Series in Classics in Applied Mathematics, Philadelphia, January 1999.
16. Zhu. Q and Başar T., "Dynamic Policy-Based IDS Configuration", IEEE Proceedings of Conference on Decision and Control, 2009.