Abnormal Action Detection based on Markov Models

Automatic Control and Computer Sciences 2011
Pāvels Osipovs, Arkādijs Borisovs

The 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 example, in data systems handling sensitive information.

Keywords
Markov chain, intruder detection system, abnormal action detection, electronic health record.
DOI
10.3103/S0146411611020052
Hyperlink
http://link.springer.com/article/10.3103/S0146411611020052

Osipovs, P., Borisovs, A. Abnormal Action Detection based on Markov Models. Automatic Control and Computer Sciences, 2011, Vol.45, No.2, pp.94-105. ISSN 0146-4116. e-ISSN 1558-108X. Available from: doi:10.3103/S0146411611020052

Publication language
English (en)