Towards an intrusion detection system : a critical and comparative study

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Date
2008
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CERIST
Abstract
An Intrusion Detection System(IDS), that is destined to supervise an environment, must adjust itself according to every change in the environment and be handling every new attack occurrence. This feature is referred to as the adaptability. It makes the IDS a learning system in relation to its target environment, practicing an autonomous and continuous learning of new attacks. This paper develops a critical and comparative study of existing adaptive intrusion detection models. The objective of such study is to be oriented with regard to related works in the aim of building our own vision to add contribution in the IDS adaptability context.
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Keywords
Intrusion detection, New attack patterns, Adaptability, Autonomous learning, Incremental learning
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