Fuzzy intrusion detection based on fuzzy reasoning Petri Nets

Meimei Gao, Mengchu Zhou

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations

Abstract

Fuzzy rule-based technique, combining fuzzy logic and expert system methodology, not only is capable to deal with uncertainty in intrusion detection but also allows the most flexible reasoning about the widest variety of information possible. It can be used in both anomaly and misuse detections. This paper presents a method for detecting intrusion based on fuzzy rule-based technique. Fuzzy Reasoning Petri Nets (FRPN) model is used to represent fuzzy rule base and to derive the final detection decision as an inference engine. FRPN have parallel reasoning ability and are readily used into real time detection. An illustration example of TCP SYN flooding attack detection is provided.

Original languageEnglish (US)
Pages (from-to)1272-1277
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume2
StatePublished - Nov 24 2003
EventSystem Security and Assurance - Washington, DC, United States
Duration: Oct 5 2003Oct 8 2003

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture

Keywords

  • Fuzzy rules
  • Intrusion detection
  • Petri nets

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