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Modeling of Distributed Intrusion Detection Using Fuzzy System

  • Heesuk Seo
  • Taekyung Kim
  • Hyungjong Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

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.

Keywords

Fuzzy Logic Fuzzy System Fuzzy Rule Intrusion Detection Security Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Heesuk Seo
    • 1
  • Taekyung Kim
    • 2
  • Hyungjong Kim
    • 3
  1. 1.School of Internet Media Engineering, Korea University of, Technology and Education, ChunananKorea
  2. 2.Department of Information Electronics, Seoil College, SeoulKorea
  3. 3.Korea Information Security Agency, SeoulKorea

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