Modeling of distributed intrusion detection using fuzzy system

  • Authors:

  • Heesuk Seo;Taekyung Kim;Hyungjong Kim

  • Affiliations:

  • School of Internet Media Engineering, Korea University of Technology and Education, Chunanan, South Korea;Department of Information Electronics, Seoil College, Seoul, South Korea;Korea Information Security Agency, Seoul, South Korea

  • Venue:
  • ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
  • Year:
  • 2006

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Abstract

Application of agent technology in Intrusion Detection Systems (IDSs) has been developed. Intrusion Detection (ID) agent technology can bring IDS flexibility and enhanced distributed detection capability. The security of the ID agent and methods of collaboration among ID agents are important problems noted by many researchers. This paper applies fuzzy logic to reduce the false positives that represent one of the core problems of IDS. ID is a complicated decision-making process, generally involving enormous factors regarding the monitored system. A fuzzy logic evaluation component, which represents a decision agent model of in distributed IDSs, considers various factors based on fuzzy logic when an intrusion behavior is analyzed. The performance obtained from the coordination of an ID agent with fuzzy logic is compared with the corresponding non-fuzzy type ID agent.