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INFFUS
2002

Fusion of multiple classifiers

11 years 1 months ago
Fusion of multiple classifiers
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. Five decision fusion methods are assessed by experiments and their performances compared. The potentialities of classifier fusion for the development of effective intrusion detection systems are evaluated and discussed.
Fabio Roli, Josef Kittler
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where INFFUS
Authors Fabio Roli, Josef Kittler
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