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This article is cited in 1 scientific paper (total in 1 paper)
Investigation of Heuristic Approach to Attacks on the Telecommunications Nnetwork Detection Based on Data Mining Techniques
A. N. Noskova, A. A. Chechulinb, D. A. Tarasovaa a P.G. Demidov Yaroslavl State University
b St. Petersburg Institute for Informatics and Automation of the Russian
Academy of Science
Abstract:
Analysis of Intrusion Detection System techniques is a perspective area for the protection of networks and network systems. This paper presence the overview of attack detection mechanisms based on data mining approach. The novelty of the this kind of mechanisms is the ability to create self-learning systems for intrusion detection. Also the article describes the basic elements of intrusion detection algorithms.
Keywords:
Analysis of methods of intrusion detection; intrusion detection systems; malicious traffic; Support Vector Machines.
Citation:
A. N. Noskov, A. A. Chechulin, D. A. Tarasova, “Investigation of Heuristic Approach to Attacks on the Telecommunications Nnetwork Detection Based on Data Mining Techniques”, Tr. SPIIRAN, 37 (2014), 208–224
Linking options:
https://www.mathnet.ru/eng/trspy772 https://www.mathnet.ru/eng/trspy/v37/p208
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Abstract page: | 169 | Full-text PDF : | 141 |
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