A modular multiple classifier system for the detection of intrusions in computer networks

Authors:
Giorgio Giacinto;Fabio Roli;Luca Didaci
Affiliations:
Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy;Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy;Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy
Venue:
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Year:
2003

Citing 15
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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 have been currently developed. Intrusion Detection Systems aim at detecting intruders who elude "first line" protection. In this paper, a pattern recognition approach to network intrusion detection based on the fusion of multiple classifiers is proposed. In particular, a modular Multiple Classifier architecture is designed, where each module detects intrusions against one of the services offered by the protected network. Each Multiple Classifier System fuses the information coming from different feature representations of the patterns of network traffic. The potentialities of classifier fusion for the development of effective intrusion detection systems are evaluated and discussed.