Intrusion detection in computer networks by multiple classifier systems

Description

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 the multiple classifier systems paradigm is proposed. The potentialities of classifier combination for data fusion and some open issues are outlined. © 2002 IEEE.

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