LAID: A learning automata-based scheme for intrusion detection in wireless sensor networks

Security and Communication Networks

Volumn 2, Issue 2, 2009, Pages 105-115

  Misra, Sudip ^a   Abraham, Kiran Isaac ^b   Obaidat, Mohammad S ^c   Krishna, P Venkata ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b VIT UNIVERSITY   (India)

^c MONMOUTH UNIVERSITY   (United States)

Author keywords

Adaptive learning; Intrusion detection; Learning automata; Performance evaluation; Security of wireless sensor networks

Indexed keywords

AUTOMATA THEORY; COMPUTER NETWORK PERFORMANCE EVALUATION; INTRUSION DETECTION;

ADAPTIVE LEARNING; ATTRACTIVE SOLUTIONS; INTRUSION DETECTION SYSTEMS; LEARNING AUTOMATA; PERFORMANCE EVALUATIONS; SECURITY OF WIRELESS SENSOR NETWORKS; SOLUTION APPROACH; WIRELESS SENSOR NETWORK (WSNS);

WIRELESS SENSOR NETWORKS;

EID: 67749133733     PISSN: 19390114     EISSN: 19390122     Source Type: Journal    
DOI: 10.1002/sec.74     Document Type: Article

References (26)

1. Perrig A, Szewczyk R, Wen V, Culler D, Tygar JD. SPINS: security protocols for sensor networks. Proceedings ACM MobiCom, July 2001; 189-199.
2. Deng J, Han R, Mishra S. Aperformanceevaluationofintrusiontolerant routing in wireless sensor networks. Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks (IPSN 03), April 2003.
3. Karlof C, Li Y, Polastre J. ARRIVE: algorithm for robust routing in volatile environments. Technical Report UCB//CSD-03-1233, University of California at Berkeley, 2003.
4. Karlof C, Sastry N, Wagner D. TinySec: a link layer security architecture for wireless sensor networks. Proceedings of ACM SenSys, 2004.
5. Avancha A, Undercoffer J, Joshi A, Pinkston J. Security for wireless sensor networks. In Wireless Sensor Networks, Chapter 1. Kluwer Academic Publishers: Norwell, 2004; 253-275.
6. Karlof C, Wagner D. Secure routinginwireless sensor networks: attacks and countermeasures. Ad Hoc Networks 2003; 1: 293-315.
7. Stajano F, Anderson RJ. The resurrecting duckling: security issues for ad-hoc wireless networks. Proceedings of the 7th International Security Protocols Workshop, 1999; 172-194.
8. Zhou L, Haas Z. Securing ad hoc networks. IEEE Network Magazine; 1999; 13(6): 24-30.
9. Agah A, Das SK, Basu K. A game theory based approach for security in wireless sensor networks. Proceedings of the International Performance Computing and Communications Conference (IPCC), Phoenix, AZ, April 2004.
10. Banerjee S, Grosan C, Abraham A, Mahanti P. Intrusion detection on sensor networks using emotional ants. International Journal of Applied Science and Computations 2005; 12(3): 152-173.
11. Chandrasekar R, Misra S, Obaidat MS. FORK: a novel strategy to an agent-based intrusion detection scheme in mobile ad-hoc networks. Computer Communications 2008; (in press). 31(16): 3855-3869.
12. Chandrasekar R, Obaidat MS, Misra S, Peña-Mora F. A secure data-centric scheme for group-based routing in heterogeneous ad-hoc sensor networks and its simulation analysis. SIMULATION: Transactions of the Society for Modeling and Simulation International 2008; 84(2/3): 131-146.
13. Loo C, Ng M, Leckie C, Palaniswami M. Intrusion detection for routing attacks in sensor networks. International Journal of Distributed Sensor Networks 2006; 2(4): 313-332. ISSN 1550-1329.
14. Roman R, Zhou J, Lopez J. Applying intrusion detection systems to wireless sensor networks. Proceedings of IEEE CCNC, 2006.
15. Skraba P, Guibas L. Energy efficient intrusion detection in camera sensor networks. Proceedings of the International Conference on Distributed Sensor Systems (DCOSS'07), Santa Fe, New Mexico, USA, June 2007.
16. Vogt H, Ringwald M, Strasser M. Intrusion detection and failure recovery in sensor nodes. Tagungsband INFORMATIK 2005 Workshop Proceedings, LNCS, Heidelberg, Germany, September 2005; Springer-Verlag.
17. Wang Y, Wang X, Xie B, Wang D, Agrawal DP. Intrusion detection in homogeneous and heterogeneous wireless sensor networks. IEEE Transactions on Mobile Computing 2008; 7(6): 698-711.
18. Kodialam M, Lakshman TV. Detecting network intrusion via sampling: a game theoretic approach, Proceedings of IEEE INFOCOM, 2003.
19. Narendra KS, Thathachar MAL. Learning Automata. Prentice Hall: New Jersey, USA, 1989.
20. Obaidat MS, Papadimitriou GI, Pomportsis AS. Learning automata: theory, paradigms, and applications. IEEE Transactions on Systems, Man, and Cybernetics-Part B 2002; 32(6): 706-709.
21. Oommen BJ, Roberts TD. Discretized learning automata solutions to the capacity assignment problem for prioritized networks. IEEE Transactions on Systems, Man, and Cybernetics 2002; 32(6): 821-831.
22. Duffield N, Greenberg A, Grossglauser M, Rexford J. A framework for passive packet measurement. IETF Draft, draftduffield-framework-papame-01, February 2002.
23. Ott TJ, Lakshman TV, Wong LH. SRED: Stabilized RED. Proceedings of INFOCOM, 1999; 1346-1355.
24. Dijkstra EW. Anote ontwo problemsinconnection with graphs. Numerische Mathematik 1959; 1: 269-2271.
25. Bellman R. On a routing problem. Quarterly of Applied Mathematics 1958; 16: 87-90.
26. Lakshmivarahan S. Learning algorithms theory and applications. Springer: New York, 1981.