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Data Fusion Support for Intrusion Detection and Prevention
Las Vegas, Nevada, USA April 02-April 04
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITNG.2007.62International Conference on Informati ...
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Mohsen Beheshti, California State University Dominguez Hills
Richard A. Wasniowski, California State University Dominguez Hills
The main problem with current intrusion detection and prevention systems is high rate of false alarms triggered off by attackers. Effective protecting the network against attacks remains problem in both research and the computer network managing professionals. Improved monitoring of malicious attacks will require integration of multiple monitoring systems. In our project we are analyzing potential benefits of distributed multi sensor systems for intrusion detection.
Citation:
Mohsen Beheshti, Richard A. Wasniowski, "Data Fusion Support for Intrusion Detection and Prevention," itng, pp.966, International Conference on Information Technology (ITNG'07), 2007
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