Autonomic Intrusion Detection System

Wei Wang 1 Thomas Guyet 2 Svein Knapskog 1
2 DREAM - Diagnosing, Recommending Actions and Modelling
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns ability of self-managing: self-labeling, self-updating and self-adapting. Affinity Propagation (AP) uses the framework to learn a subject's behavior through dynamical clustering of the streaming data. The testing results with a large real HTTP log stream demonstrate the effectiveness and efficiency of the method.
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https://hal.inria.fr/inria-00461382
Contributor : Thomas Guyet <>
Submitted on : Thursday, March 4, 2010 - 3:21:50 PM
Last modification on : Thursday, November 15, 2018 - 11:57:04 AM

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  • HAL Id : inria-00461382, version 1

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Wei Wang, Thomas Guyet, Svein Knapskog. Autonomic Intrusion Detection System. Recent Advances in Intrusion Detection, Sep 2009, Saint Malo, France. ⟨inria-00461382⟩

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