Abnormal Action Detection Based on Markov Models
P. A. Osipov and A. N. Borisov
Riga Technical University, Kalku 1, Riga, LV-1658 Latvia
E-mail: pavels.osipovs@gmail.com, arkadijs.borisovs@cs.rtu.lv
AbstractThe task of using Markov chains to develop a statistical behavioral model of a DS user to
detect abnormal activity is described. In order to verify the assumption about the possibility of using this
method in electronic health records, a program system was developed. The experiments with the system
showed that the approach in question could be efficiently applied in abnormal action detection, for exam-
ple, in data systems handling sensitive information.
Keywords: Markov chain, intruder detection system, abnormal action detection, electronic health
record.
DOI: 10.3103/S0146411611020052
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