eHEALTH System Anomaly Activity Detection, based on User Behavior Model

Modeling and Analysis of Safety and Risk in Complex Systems: International Scientific School MA SR 2011
Pāvels Osipovs, Arkādijs Borisovs

In this article we describe approach for the problem of detecting anomalous activity of complex information system user behavior based on Markov chains statistical model. To test the hypothesis that this approach can be successfully used in e-Health systems it was created the software system. Experiments have shown that the possibility of using this approach for the detection of abnormal user activity.

Keywords
Markov chain, the intrusion detection system, the detection of abnormal behavior, the electronic medical record
Hyperlink
http://www.inotel.org/masrconference/proc11.htm

Osipovs, P., Borisovs, A. eHEALTH System Anomaly Activity Detection, based on User Behavior Model. In: Modeling and Analysis of Safety and Risk in Complex Systems: International Scientific School MA SR, Russia, Saint Peterburg, 28 Jun-2 Jul., 2011. Saint Peterburg: Редакционно-издательский центр ГУАП, 2011, pp.405-412. ISBN 978-5-8088-0627-6.

Publication language
Russian (ru)