An efficient sequential procedure for detecting changes in multichannel and distributed systems

Proceedings of the 5th International Conference on Information Fusion, FUSION 2002

Volumn 1, Issue , 2002, Pages 41-48

  Tartakovsky, Alexander G ^a   Veeravalli, Venugopd V ^b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

Change point problems; distributed decisions; multi channel systems; multi sensor; optimal fusion; quantized data; quickest detection; sequential detection

Indexed keywords

ALARM SYSTEMS; ERRORS; INFORMATION FUSION; SENSORS;

CHANGE-POINT PROBLEM; DISTRIBUTED DECISION; MULTI SENSOR; MULTICHANNEL SYSTEM; OPTIMAL FUSION; QUANTIZED DATA; QUICKEST DETECTION; SEQUENTIAL DETECTION;

SENSOR DATA FUSION;

EID: 27144533043     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2002.1021129     Document Type: Conference Paper

References (17)

1. M. Basseville and I.V. Nikiforov, Detection of Abrupt Changes: Theory and Applications. Prentice Hall, En-glewood Cliffs, 1993.
2. R. Blazek, H. Kim, B. Rozovskii, and A. Tartakovsky, "A novel approach to detection of "denial-of-service" attacks via adaptive sequential and batch-sequential change-point detection methods," IEEE Transactions on Systems, Man, and Cybernetics, Submitted 2002.
3. CERT, UDP Packet Storm; TCP SYN Flooding and IP Spoofing Attacks. CERT Advisory CA-1996-01 and CA-96.21, 1996.
4. V.P. Dragalin, A.G. Tartakovsky, and V.V. Veeravalli, "Multihypothesis sequential probability ratio tests, I: asymptotic optimality," IEEE Trans. Inform. Theory, Vol. 45, pp. 2448-2461, 1999.
5. S. Kent, "On the trial of intrusions into information systems," IEEE Spectrum, pp. 52-56, 2000.
6. T.L. Lai, "On r-quick convergence and a conjecture of Strassen," Ann. Probability, Vol. 4, pp. 612-627, 1976.
7. G. Lorden, "Procedures for reacting to a change in distribution," Ann. Math. Statist., Vol. 42, pp. 1987-1908, 1971.
8. M. Pollak, "Optimal detection of a change in distribution," A. Statist., Vol. 13, pp. 206-227, 1985.
9. M. Pollak, "Average run lengths of an optimal method of detecting a change in distribution," Ann. Statist., Vol. 15, pp. 749-779, 1987.
10. A.N. Shiryaev, "On optimum methods in quickest detection problems," Theory Probab. Appl, Vol. 8, pp. 22-6, 1963.
11. A.N. Shiryaev, Optimal Stopping Rules. Springer-Verlag, NY, 1978.
12. A.G. Tartakovsky, Sequential Methods in the Theory of Information Systems. Radio i Svyaz', Moscow, 1991 (In Russian).
13. A.G. Tartakovsky, "Asymptotically minimax multi-alternative sequential rule for disorder detection," In Statistics and Control of Random Processes: Proc. Steklov Institute of Mathematics, Vol. 202, Issue 4, pp. 229-236, 1994. AMS, Providence, Rhode Island.
14. A.G. Tartakovsky, "Extended asymptotic optimality of certain change-point detection procedures," Ann. Statist., Submitted.
15. J.N. Tsitsiklis, "Extremal properties of likelihood-ratio quantizers," IEEE Trans. Commun., Vol. 41, No. 4, pp. 550-558, 1993.
16. V.V. Veeravalli, "Decentralized quickest change detection," IEEE Trans. Inform. Theory, Vol. 47, pp. 1657-1665, 2001.
17. M. Woodroofe, Nonlinear Renewal Theory in Sequential Analysis. SIAM, Philadelphia, 1982.