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Anomaly detection using projective Markov models in a distributed sensor network
2009
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference
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The paper develops application of techniques from robust and universal hypothesis testing for anomaly detection and change-point detection in dynamic, interconnected systems. This theory is extended using the concept of projected Markov models originally proposed by Claude Shannon. Also presented is a detailed application to anomaly detection from people movements patterns in buildings.
doi:10.1109/cdc.2009.5400612
dblp:conf/cdc/MeynSLN09
fatcat:kkemnuftang47jnisyuirirwkq