An approach for detecting and distinguishing errors versus attacks in sensor networks

Proceedings of the International Conference on Dependable Systems and Networks

Volumn 2006, Issue , 2006, Pages 473-482

  Basile, Claudio ^a,b   Gupta, Meeta ^a,c   Kalbarczyk, Zbigniew ^a   Iyer, Ravi K ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b LUCENT TECHNOLOGIES   (United States)

^c HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA TRACES; HIDDEN MARKOV MODELS (HMM); SENSOR OBSERVATIONS;

COMPUTER SYSTEM RECOVERY; DISTRIBUTED COMPUTER SYSTEMS; ERROR DETECTION; FAULT TOLERANT COMPUTER SYSTEMS; MARKOV PROCESSES; SECURITY OF DATA; SEMANTICS; STATISTICAL METHODS;

SENSOR DATA FUSION;

EID: 33845583903     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSN.2006.11     Document Type: Conference Paper

References (14)

1. R. Szewczyk, J. Polastre, A. Mainwaring, and D. Culler. Lessons from a sensor network expedition. In Proc. of European Workshop on Wireless Sensor Networks, 2004.
2. A. D. Wood and J. A. Stankovic. Denial of service in sensor networks. IEEE Computer, 35(10):54-62, Oct. 2002.
3. C. Karlof and D. Wagner. Secure routing in wireless sensor networks: Attacks and countermeasures. In First IEEE International Workshop on Sensor Network Protocols and Applications, pages 113-127, May 2003.
4. B. Przydatek, D. Song, and A. Perrig. Sia: Secure information aggregation in sensor networks. In Proc. of SenSys, 2003.
5. C. Warrender, S. Forrest, and B. A. Pearlmutter. Detecting intrusions using system calls: Alternative data models. In IEEE Symposium on Security and Privacy, pages 133-145, 1999.
6. S.-J. Cho and S.-J. Han. Two sophisticated techniques to improve HMM-based intrusion detection systems. LNCS, 2820:207-219, 2003.
7. A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler, and J. Anderson. Wireless Sensor Networks for Habitat Monitoring. In Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, pages 88-97, 2002.
8. L. R. Rabiner. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. IEEE Proceedings, 77(2):257-286, 1989.
9. M. Basseville and I. Nikiforov. Detection of abrupt changes: theory and application. Information and system science series. Prentice Hall, Englewood Cliffs, NJ, 1993.
10. J. Stiller and G. Radons. Online estimation of hidden Markov models. IEEE Signal Processing Letters, 6(8):213-215, 1999.
11. S. Jha, K. Tan, and R. A. Maxion. Markov Chains, Classifiers, and Intrusion Detection. In Proceedings of the 14th IEEE Workshop on Computer Security Foundations, page 206, 2001.
12. M. Nassehi. Anomaly Detection for Markov Models. Technical Report RZ 3011 (93057), IBM Research Division, Zurich Research Laboratory, 1998.
13. C. Kruegel and G. Vigna. Anomaly Detection of Web-based Attacks. In Proceedings of the 10th ACM Conference on Computer and Communications Security, pages 251-261, 2003.
14. N. Ye, Y. Zhang, and C. M. Boror. Robustness of the Markov Chain Model for Cyber-Attack Detection. IEEE Transactions on Reliability, 53(1), March 2004.