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Intruder Activity Analysis under Unreliable Sensor Networks [electronic resource].

Published
Washington, D.C. : United States. Office of the Assistant Secretary for Nuclear Energy, 2007.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Additional Creators
Idaho National Laboratory, United States. Office of the Assistant Secretary for Nuclear Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
This paper addresses the problem of counting intruder activities within a monitored domain by a sensor network. The deployed sensors are unreliable. We characterize imperfect sensors with misdetection and false-alarm probabilities. We model intruder activities with Markov Chains. A set of Hidden Markov Models (HMM) models the imperfect sensors and intruder activities to be monitored. A novel sequential change detection/isolation algorithm is developed to detect and isolate a change from an HMM representing no intruder activity to another HMM representing some intruder activities. Procedures for estimating the entry time and the trace of intruder activities are developed. A domain monitoring example is given to illustrate the presented concepts and computational procedures.
Report Numbers
E 1.99:inl/con-07-12986
inl/con-07-12986
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Note
Published through SciTech Connect.
09/01/2007.
"inl/con-07-12986"
IEEE Conference on Automation Science and Engineering,Scottsdale, AZ,09/22/2007,09/25/2007.
Humberto E. Garcia; Tae-Sic Yoo.
Funding Information
DE-AC07-99ID-13727
View MARC record | catkey: 14104832