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文章基本信息

  • 标题:DDoS Attack Detection based on Chaos Theory and Artificial Neural Network
  • 本地全文:下载
  • 作者:Anjali. M ; B.Padmavathi
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:6
  • 页码:7276-7279
  • 出版社:TechScience Publications
  • 摘要:DDoS attacks temporarily make the target system unavailable to the legitimate users. They don’t steal anything. But they cause big headache for targeted companies and network engineers. Application layer DDoS attacks are difficult to detect because they mimic normal traffic. This paper proposes a novel method of detection of DDoS attacks based on Chaos theory and Artificial neural networks.
  • 关键词:AR model; Botnets; Chaos; DDoS attacks; Neural;network.
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