A game theoretical framework on intrusion detection in heterogeneous networks

IEEE Transactions on Information Forensics and Security

Volumn 4, Issue 2, 2009, Pages 165-178

  Chen, Lin ^a   Leneutre, Jean ^a  

^a INSTITUT TELECOM   (France)

Author keywords

Game theory; Intrusion detection system (IDS); Nash equilibrium (NE)

Indexed keywords

ANALYTICAL RESULTS; ENGINEERING IMPLICATIONS; GAME-THEORETICAL FRAMEWORK; IN-DEPTH ANALYSIS; INTRUSION DETECTION SYSTEM (IDS); INTRUSION DETECTION SYSTEMS; NASH EQUILIBRIUM; NASH EQUILIBRIUM (NE); NETWORK INTRUSION DETECTION; NONCOOPERATIVE GAME; OPTIMAL STRATEGIES; REALISTIC SCENARIO; RESOURCE REQUIREMENTS; SECURITY APPROACH; SECURITY INFRASTRUCTURE; SIMULATION RESULT;

COMPUTER CRIME; GAME THEORY; HETEROGENEOUS NETWORKS; INTERNET; OPTIMAL SYSTEMS;

INTRUSION DETECTION;

EID: 67649521992     PISSN: 15566013     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIFS.2009.2019154     Document Type: Article

References (14)

1. C. Manikopoulos and S. Papavassiliou, "Network intrusion and fault detection: A statistical anomaly approach," IEEE Commun. Mag., vol. 40, no. 10, pp. 76-82, Oct. 2002.
2. M. Meneganti, F. S. Saviello, and R. Tagliaferri, "Fuzzy neural networks for classification and detection of anomalies," IEEE Trans. Neural Netw., vol. 9, no. 5, pp. 848-861, Sep. 1998.
3. W. Lee, S. J. Stolfo, and K. W. Mok, "Adaptive intrusion detection: A data mining approach," Artif. Intell. Rev., vol. 14, no. 6, pp. 533-567, Dec. 2000.
4. Y. Zhang and W. Lee, "Intrusion detection in wireless ad-hoc networks," in Proc. MobiCom 2003, pp. 275-283.
5. Y. Huang, W. Fan, W. Lee, and P. S. Yu, "Cross-feature analysis for detecting ad-hoc routing anomalies," in Proc. 23th Int. Conf. Distributed Computing Systems (ICDCS), Providence, RI, May 2003.
6. M. Kodialam and T. V. Lakshman, "Detecting network intrusions via sampling: A game theoretic approach," in IEEE INFOCOM 2003, San Franciso, CA.
7. T. Alpcan and T. Basar, "A game theoretic analysis of intrusion detection in access control systems," in Proc. 43rd IEEE Conf. Decision and Control (CDC), Paradise Island, Bahamas, 2004.
8. A. Agah, S. K. Das, K. Basu, and M. Asadi, "Intrusion detection in sensor networks: A non-cooperative game approach," in Proc. 3rd IEEE Int. Symp. Network Computing and Applications (NCA04), Cambridge, MA, Aug./Sep. 2004.
9. T. Alpcan and T. Basar, "A game theoretic approach to decision and analysis in network intrusion detection," in Proc. 42nd IEEE Conf. Decision and Control (CDC), Hawaii, Dec. 2003.
10. A. Patcha and J.-M. Park, "A game theoretic formulation for intrusion detection in mobile ad hoc networks," Int. J. Netw. Security, vol. 2, no. 2, pp. 146-152, Mar. 2006.
11. D. Subhadrabandhu, S. Sarkar, and F. Anjum, "A statistical framework for intrusion detection in ad hoc networks," in INFOCOM 2006, Barcelona, Spain.
12. Y. Liu, C. Comaniciu, and H. Man, "Modelling misbehaviour in ad hoc networks: A game theoretic approach for intrusion detection," Int. J. Security Netw., vol. 1, pp. 243-254, 2006.
13. J. B. Rosen, "Existence and uniqueness of equilibrium points for concave n-person games," Econometrica, vol. 33, pp. 520-534, 1965.
14. M. J. Osborne and A. Rubinstein, A Course in Game Theory. Cambridge, MA: MIT Press, 1994.