Title :
Intrusion detection in computer networks by multiple classifier systems
Author :
Giacinto, Giorgio ; Roli, Fabio
Author_Institution :
Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
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 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.
Keywords :
computer networks; feature extraction; pattern classification; security of data; telecommunication security; computer networks; data fusion; high protection levels; intrusion detection; modern computer systems; multiple classifier systems; multiple classifier systems paradigm; pattern recognition approach; security; software tools; Computer networks; Computer security; Feature extraction; Filters; Intelligent networks; Intrusion detection; Pattern recognition; Protection; Telecommunication traffic; Web and internet services;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1048321
