A Framework for Adaptive, Cost-sensitive Intrusion Detection and Response System

A Framework for Adaptive, Cost-sensitive Intrusion Detection and Response System

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In this work we present an integrated approach to intrusion detection and response based on the technique for monitoring abnormal patterns in the program behavior. The proposed model effectively combines the advantages of anomaly-based and specification-based approaches recognizing a known behavior through the specifications of normal and abnormal patterns and classifying unknown patterns using a machine-learning algorithm. Such combination not only allows adaptation of the specification-based detection to the new patterns, but also provides a method for automatic development of specifications.Among these are methods based on state-transition analysis of anomalous system behavior (da#39;Auriol and Surapaneni, 2004; Ilgun, 1993; Ilgun et al., 1995), rule-based expert systems (Garvey and Lunt, 1991; Habra et al., 1992; Jean- Philippe Pouzol, 2002; Sebring et al., 1988) ... Several visualization techniques have been proposed to cope with this problem (Noel et al., 2005; Noel and Jajodia, 2004).


Title:A Framework for Adaptive, Cost-sensitive Intrusion Detection and Response System
Author: Natalia Stakhanova
Publisher:ProQuest - 2007
ISBN-13:

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