Towards an intrusion detection system : a critical and comparative study

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dc.contributor.authorBensefia, Hassina
dc.contributor.authorAhmed-Nacer, Mohamed
dc.date.accessioned2013-11-21T08:29:51Z
dc.date.available2013-11-21T08:29:51Z
dc.date.issued2008
dc.description.abstractAn 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.fr_FR
dc.identifier.isrnCERIST-DTISI/RR--08-000000005-1--dzfr_FR
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/266
dc.publisherCERIST
dc.relation.ispartofRapports de recherche internes
dc.relation.ispartofseriesRapports de recherche internes
dc.relation.placeAlger
dc.subjectIntrusion detectionfr_FR
dc.subjectNew attack patternsfr_FR
dc.subjectAdaptabilityfr_FR
dc.subjectAutonomous learningfr_FR
dc.subjectIncremental learningfr_FR
dc.titleTowards an intrusion detection system : a critical and comparative studyfr_FR
dc.typeTechnical Report
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