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A Design of RSIDS using Rough Set Theory and Support Vector Machine Algorithm

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2012, 17(12), pp.179-185
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Lee, Byung-kwan 1 Jeong Eun Hee 2

1관동대학교
2강원대학교

Accredited

ABSTRACT

This paper proposes a design of RSIDS(RST and SVM based Intrusion Detection System) using RST(Rough Set Theory) and SVM(Support Vector Machine) algorithm. The RSIDS consists of PrePro(PreProcessing) module, RRG(RST based Rule Generation) module, and SAD(SVM based Attack Detection) module. The PrePro module changes the collected information to the data format of RSIDS. The RRG module analyzes attack data, generates the rules of attacks, extracts attack information from the massive data by using these rules, and transfers the extracted attack information to the SAD module. The SAD module detects the attacks by using it, which the SAD module notifies to a manager. Therefore, compared to the existing SVM, the RSIDS improved average ADR(Attack Detection Ratio) from 77.71% to 85.28%, and reduced average FPR(False Positive ratio) from 13.25% to 9.87%. Thus, the RSIDS is estimated to have been improved,compared to the existing SVM.

Citation status

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