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Ensemble Learning for Intrusion Detection in Computer Networks

By Luca Didaci, Giorgio Giacinto and Fabio Roli

Abstract

The security of computer networks plays a strategic role in modern computer systems. In order to enforce high protection levels against threats, a number of software tools are currently developed. Intrusion Detection Systems aim at detecting intruder who eluded the "first line" protection. In this paper, a pattern recognition approach to network intrusion detection based on ensemble learning paradigms is proposed. The potentialities of such an approach for data fusion and some open issues are outlined

Year: 2002
OAI identifier: oai:CiteSeerX.psu:10.1.1.19.642
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