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  • 标题:Detecting and Preventing Distributed Denial of Service (DDOS) Attacks Using BOTNET Monitoring System
  • 本地全文:下载
  • 作者:Manikandan ; K. Manikanda Kumaran ; S.Palanimurugan
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2014
  • 卷号:3
  • 期号:12
  • 页码:9717-9720
  • 出版社:IJECS
  • 摘要:Denial-of-Service (DoS) attacks pose a significant threat to the Internet today especially if they are distributed, i.e., launchedsimultaneously at a large number of systems. Reactive techniques that try to detect such an attack and throttle down malicious trafficprevail today but usually require an additional infrastructure to be really effective. In this paper we show that preventive mechanisms canbe as effective with much less effort: We present an approach to (distributed) DoS attack prevention that is based on the observation thatcoordinated automated activity by many hosts needs a mechanism to remotely control them. To prevent such attacks, it is therefore possibleto identify, infiltrate and analyze this remote control mechanism and to stop it in an automated fashion. We show that this method can berealized in the Internet by describing how we infiltrated and tracked distributed denial of service attacks using hybrid peer to peer botnetsmonitoring system
  • 关键词:Botnet; DDOS; Honeypot; IDS and Mimic Flash Crowds
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