Intrusion detection in computer networks by multiple classifier systems
Giorgio Giacinto, Fabio Roli · 2003
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 available. Intrusion detection systems aim at detecting an intruder who eluded the "first line" protection. In the 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.