Identification of Programs Based on the Behavior
https://doi.org/10.18255/1818-1015-2014-6-120-130
Abstract
The algorithm of pattern mining from sequences of system calls is described. Patterns are used for process identification or establishing the fact that some sequence of system calls was produced by the process which was used in pattern extraction. Existing algorithms are computationaly more complex or reveals high false positive runs in experiments in comparision with an automaton building algorithm. Our algorithm is less complex and more precise in comparision with the classical N-gram algorithm. Performance tests reveal that our kernel monitor does not significatly slow down the processing of the operating system. After 20 minutes of learning the algorithm is able to identify any thread of any process with 85% precision. Program identification based on behavior is used for anomaly detection of malicious activities in system.
About the Authors
M. V. Baklanovsky
Saint Petersburg State University
Russian Federation
ст. преподаватель, Saint-Petersburg, Petergof, Universitetskii pr., 28, 198504, Russia
Russian Federation
ст. преподаватель, Saint-Petersburg, Petergof, Universitetskii pr., 28, 198504, Russia
A. R. Khanov
Saint Petersburg State University
Russian Federation
аспирант, Saint-Petersburg, Petergof, Universitetskii pr., 28, 198504, Russia
Russian Federation
аспирант, Saint-Petersburg, Petergof, Universitetskii pr., 28, 198504, Russia
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Review
For citations:
Baklanovsky M.V., Khanov A.R. Identification of Programs Based on the Behavior. Modeling and Analysis of Information Systems. 2014;21(6):120-130. (In Russ.) https://doi.org/10.18255/1818-1015-2014-6-120-130
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