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JOURNALS // Informatics and Automation // Archive

Tr. SPIIRAN, 2016 Issue 45, Pages 207–244 (Mi trspy873)

This article is cited in 34 papers

Information Security

Analysis and Classification of Methods for Network Attack Detection

A. A. Branitskiy, I. V. Kotenko

laboratory of Computer Security Problems of the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Science (SPIIRAS)

Abstract: Different methods of detection of network attacks are considered in the paper. The paper focuses on the construction of the generalized classification scheme of methods of network attack detection, description of each of the above methods and their comparative analysis within the proposed classification scheme.

Keywords: network attacks, misuse detection, anomaly detection, network traffic.

UDC: 004.056

DOI: 10.15622/sp.45.13



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