Title :
Anomaly detection using projective Markov models in a distributed sensor network
Author :
Meyn, Sean ; Surana, Amit ; Lin, Yiqing ; Narayanan, Satish
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
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.
Keywords :
Markov processes; distributed sensors; large-scale systems; pattern recognition; anomaly detection; change-point detection; distributed sensor network; hypothesis testing; interconnected systems; projective Markov models; Buildings; Data security; Detection algorithms; Detectors; Information security; Monitoring; Predictive models; Robustness; Tracking; Traffic control;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400612
