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Using Text Mining Techniques for Intrusion Detection Problem in Computer Network

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2005, 10(5), pp.27-32
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Seung-Joon Oh 1 Won minkwan 1

1경기과학기술대학교

Candidate

ABSTRACT

Recently there has been much interest in applying data mining to computer network intrusion detection. A new approach, based on the k-Nearest Neighbour(kNN) classifier, is used to classify program behaviour as normal or intrusive. Each system call is treated as a word and the collection of system calls over each program execution as a document. These documents are then classified using kNN classifier, a popular method in text mining. A simple example illustrates the proposed procedure.

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