Data mining support for intrusion detection and prevention

  • Authors:
  • Richard Wasniowski

  • Affiliations:
  • Computer Science Department, California State University Dominguez Hills, Carson, CA

  • Venue:
  • ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
  • Year:
  • 2006

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Abstract

As computer attacks are becoming more and more difficult to identify the need for better and more efficient intrusion detection systems increases. The main problem with current intrusion detection systems is high rate of false alarms. In this paper we discuss our experience in analyzing potential benefits of distributed multi sensor systems for intrusion detection. Our purpose for this work is to examine how to integrate multiple intrusion detection sensors in the order to minimize the number of incorrect-alarms.