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Conference Papers Year : 2009

Autonomic Intrusion Detection System

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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Dates and versions

inria-00461382 , version 1 (04-03-2010)

Identifiers

  • HAL Id : inria-00461382 , version 1

Cite

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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