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文章基本信息

  • 标题:FuGeIDS: Fuzzy Genetic paradigms in Intrusion Detection Systems
  • 本地全文:下载
  • 作者:Rajdeep Borgohain
  • 期刊名称:International Journal of Advanced Networking and Applications
  • 电子版ISSN:0975-0290
  • 出版年度:2012
  • 卷号:3
  • 期号:6
  • 页码:1409-1415
  • 出版社:Eswar Publications
  • 摘要:With the increase in the number of security threats, Intrusion Detection Systems have evolved as a significant countermeasure against these threats. And as such, the topic of Intrusion Detection Systems has become one of the most prominent research topics in recent years. This paper gives an overview of the Intrusion Detection System and looks at two major machine learning paradigms used in Intrusion Detection System, Genetic Algorithms and Fuzzy Logic and how to apply them for intrusion detection
  • 关键词:CSurvey; Intrusion Detection System; Fuzzy Logic; Genetic Algorithms; Anomaly
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