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1 TLCNETGRP - TLC Network Research Group 2 INFO - Département informatique

Abstract : In the last few years, the number and impact of security attacks over the Internet have been continuously increasing. To face this issue, the use of Intrusion Detection Systems IDSs has emerged as a key element in network security. In this paper we address the problem considering a novel statistical technique for detecting network anomalies. Our approach is based on the use of different families of Markovian models namely high order and non homogeneous Markov chains for modeling network traffic running over TCP. The performance results shown in the paper, justify the proposed method and highlight the improvements over commonly used statistical techniques.

Keywords : Intrusion detection system High order Markov chain Mixture transition model Non-homogeneous Markov chain

Author: Christian Callegari - Sandrine Vaton - Michele Pagano -

Source: https://hal.archives-ouvertes.fr/


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