Intellectual intrusion detection with sequences alignment methods

Authors:
Yaroslav A. Markov;Maxim O. Kalinin
Affiliations:
Information Security Center of St. Petersburg Polytechnical University, St. Petersburg, Russia;Information Security Center of St. Petersburg Polytechnical University, St. Petersburg, Russia
Venue:
MMM-ACNS'10 Proceedings of the 5th international conference on Mathematical methods, models and architectures for computer network security
Year:
2010

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Abstract

The paper addresses to application of sequences alignment intellectual algorithms for the intrusion detection needs. These algorithms are used in bioinformatics to detect regions of similarity in several gene sequences. We propose two techniques of their utilization. Using the first technique it is possible to detect the mutations of attack, having a signature of it. The second technique is applicable to anomaly detection. We discuss what algorithms of sequences alignment can be used in these methods and show the effectiveness of these techniques on practice.