RUS  ENG
Full version
JOURNALS // Informatics and Automation // Archive

Tr. SPIIRAN, 2014 Issue 37, Pages 208–224 (Mi trspy772)

This article is cited 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.

UDC: 004.056.53

DOI: 10.15622/sp.37.13



© Steklov Math. Inst. of RAS, 2024