Modeling Intrusion Detection System by Discovering Association Rule in Rough Set Theory Framework

@article{Xuren2006ModelingID,
  title={Modeling Intrusion Detection System by Discovering Association Rule in Rough Set Theory Framework},
  author={Wang Xuren and He Famei and Xu Rongsheng},
  journal={2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)},
  year={2006},
  pages={24-24}
}
In Intrusion Detection Systems, many intelligent information processing methods, data miming technology and so on have been applied to generating attack signatures automatically, updating signatures easily and improving detection accuracy with ultra data set. This paper presents an improved association rule discovering system under rough set theory framework of modeling IDSs. The system makes association rule applicable in classifying fields. The system exploits data reductions, rule selection… CONTINUE READING
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