Anomaly detection via feature-aided tracking and hidden Markov models

IEEE Aerospace Conference Proceedings

Volumn , Issue , 2007, Pages

  Singh, Satnam ^a   Donat, William ^a   Pattipati, Krishna ^a   Willett, Peter ^a   Tu, Haiying ^b  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b QUALTECH SYSTEMS INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; PATTERN MATCHING; WEBSITES;

ANOMALY DETECTION; ASYMMETRIC THREATS; PERFORMANCE ANALYSIS;

TARGET TRACKING;

EID: 34548722675     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2007.352797     Document Type: Conference Paper

References (31)

1. T. Eawcett, "Activity monitoring: anomaly detection as on-line classification," Symposium on Machine Learning for Anomaly Detection, May 2004.
2. E. Page, "Continuous inspection schemes," Biometrika, vol. 41, pp. 100-115, 1954.
3. J. Ying, T. Kirubarajan, K. R. Pattipati and A. Patterson-Hine, "A hidden Markov model-based algorithm for fault diagnosis with partial and imperfect tests," IEEE Transactions on Systems, Man, and Cybernetics- Part C: Applications and Reviews, vol. 30, no. 4, pp. 463-473, November 2000.
4. B. Chen and P. Willett, "Detection of hidden Markov model transient signals," IEEE Transactions on Aerospace and Electronic Systems, vol. 36, no. 4, pp. 1253-1268, December 2000.
5. B. Chen and P. Willett, "Superimposed HMM transient detection via target tracking ideas," IEEE Transactions on Aerospace and Electronic systems, vol. 37, no. 3, pp. 946-956, July 2001.
6. L. R. Rabiner and B. H. Juang, "An introduction to hidden Markov models," IEEE ASSP Magazine, pp. 4-16, January 1986.
7. L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proceedings of the IEEE, vol. 77, no. 2, pp. 257-286, February 1989.
8. P. Smyth, "Markov monitoring with unknown states," IEEE Journal on Selected Areas in Communications, vol. 12, issue 9, December 1994.
9. S. Joshi and V. V. Phoha, "Investigating hidden Markov model for anomaly detection," 43rd ACM South East Conference, Kennesaw, Georgia, 2005.
10. S. Salvador, P. Chan and J. Brodie, "Learning states and rules for time series anomaly detection," Proc 17th Intl. FLAIRS Conf., pp. 300-305, 2004.
11. D. Agarwal, J. Feng and V. Torres, "Monitoring massive streams simultaneously: a holistic approach," Interface 2006 (To be published).
12. S. Bay, K. Saito, N. Ueda and P. Langley, "A framework for discovering anomalous regimes in multivariate time-series data with local models," Symposium on Machine Learning for Anomaly Detection, May 2004.
13. G. Godfrey, TerrorAlert system, Metron,http://www.metsci.com/about/ terralert.html.
14. J. A. Rosen, Influence net modeling, http://www.inet.saic.com/docs/docs/ inet-for-planning.pdf.
15. S. Singh, W. Donat, H. Tu, J. Lu, K. Pattipati and P. Willett, "An Advanced system for modeling asymmetric threats," IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, October 2006.
16. S. Singh, J. Allanach, H. Tu, K. Pattipati and P. Willett, "Stochastic modeling of a terrorist event via the ASAM system," IEEE International Conference on Systems, Man and Cybernetics, Hague, Netherlands, October 2004.
17. S. Singh, H. Tu, J. Allanach, K. Pattipati and P. Willett, "Modeling threats," IEEE Potentials, August-September 2004.
18. H. Tu, J. Allanach, S. Singh, P. Willett and K. Pattipati, "Information integration via hierarchical and hybrid Bayesian networks," IEEE Transactions on System, Man and Cybernetics, Part A: Systems and Humans, special issue on Advances in Heterogeneous and Complex System Integration, January 2006.
19. L. Baum, T. Petrie, G. Soules, and N, Weiss, "A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains," Ann. of Math. Stat., vol. 41, pp. 164-171, 1970.
20. T. Moon, "The expectation-maximization algorithm," IEEE SP Magazine, vol. 13, pp. 47-60, November 1996.
21. F. Barnaby, How to build a nuclear bomb and other weapons of mass destruction, New York, Nation Books, 2004.
22. F. Settle, Nuclear chemistry, nuclear proliferation, http://www. chemcases.com/2003version/nuclear/nc-12.htm.
23. L. Spector and J. Smith, Nuclear ambitions: The spread of nuclear weapons 1989-1990, Boulder, CO, Westview Press, 1990.
24. R. Paternoster, Nuclear weapon proliferation indicators and observables, Los Alamos National Laboratory, December 1992.
25. U. S. Congress, Office of Technology Assessment, "Technologies underlying weapons of mass destruction," OTA-BP-ISC-115, U.S. Printing Office, Washington DC, December 1993.
26. Qualtech Systems Inc., http://www.teamqsi.com.
27. G.Lorden, "Procedures for reacting to a change in distribution," Ann. of Math. Stat., vol. 42, pp. 1897-1908, June 1971.
28. A. Wald, Sequential analysis, Wiley, New York, 1947.
29. D. Siegmund, Sequential analysis tests and confidence intervals, Springer-Verlag, New York, 1985.
30. S. S. Blackman, Multiple targets tracking with radar application, Artech House, MA, 1986.
31. Z. Ghahrarnani and M. I. Jordan, "Factorial Hidden Markov Models," Machine Learning, Kluwer Academic Publishers, Boston, 1997.