A user-oriented ontology-based approach for network intrusion detection

  • Authors:
  • Shao-Shin Hung;Damon Shing-Min Liu

  • Affiliations:
  • Department of Computer Science and Information Engineering, WuFeng Institute of Technology, Chi-ayi, Taiwan 621, ROC;Department of Computer Science and Information Engineering, National Chung Cheng University, Chi-ayi, Taiwan 621, ROC

  • Venue:
  • Computer Standards & Interfaces
  • Year:
  • 2008

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Abstract

A new approach is suggested for designing and developing an intrusion detection application where the domain expertise is used for generating it more easily. This approach uses ontologies as a way of grasping the knowledge of a domain, expressing the intrusion detection system much more in terms of the end users domain, generating the intrusion detection more easily and performing intelligent reasoning. Furthermore, ontologies are also used as a conceptual modeling tool allowing a non-expert person to model his/her intrusion detection application only using the concepts of intrusion detection more intuitively and more user-oriented towards his/her domain expertise.