A Weak Hidden Markov Model based intrusion detection method for wireless sensor networks

Proceedings - 2010 International Conference on Intelligent Computing and Integrated Systems, ICISS2010

Volumn , Issue , 2010, Pages 887-889

  Song, Xianfeng ^a   Chen, Guangxi ^a   Li, Xiaolong ^a  

^a GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY   (China)

Author keywords

Deviation alarm; Intrusion detection; Scoring scheme; W HMM; Wireless sensor networks

Indexed keywords

DEVIATION ALARM; MARKOV MODEL; NON-PARAMETRIC; SCORING SCHEMES; SIMULATION RESULT; STATE TRANSITION PROBABILITIES; W-HMM; WIRELESS SENSOR;

ALARM SYSTEMS; HIDDEN MARKOV MODELS; INTEGRATED CONTROL; INTELLIGENT COMPUTING; INTRUSION DETECTION; OBJECT RECOGNITION; SENSOR NETWORKS;

WIRELESS SENSOR NETWORKS;

EID: 78651465179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICISS.2010.5657049     Document Type: Conference Paper

References (6)

1. S. Tilak, N. B. Abu-Ghazaleh, W.Heinzelman. A taxonomy of wireless micro-sensor network models. Mobile Computing and Communications Review. 2002, 6(2): 28-36
2. T. Roosta, S. Shieh, and S. Sastry, "Taxonomy of security attacks in sensor networks," in First IEEE International Conference on System Integration and Reliability Improvements, Hanoi, Vietnam, vol. 1, 2006, pp. 529-536
3. Ephraim, M., Merhav, N.: Hidden Markov Processes. IEEE Trans. Informormation Theory 48(6) (2002).
4. Forney, G.: The Viterbi Algorithm. Proc. IEEE 61(3), 268-278 (1973)
5. F. Liu, X. Cheng, D. Chen. Insider attacker detection in wireless sensor networks(C). IEEE INFOCOM 2007, Anchorage, AK, USA, 2007. Piscataway, NJ, USA, IEEE, 2007: 1936-1944.
6. A. P. R. Da Silva. A. A. F. Loureiro, M. H. T. Martins, L. B. Ruiz, B. P. S. Rocha, H. C. Wong. Decentralized intrusion detection in wireless sensor networks. Proceedings of the 1st ACM international workshop on. Quality of service & security in wireless and mobile networks, Montreal, QB, Canada, 2005. New York, NY,USA, ACM, 2005: 16-23.