• DocumentCode
    3540872
  • Title

    Detecting HTTP Botnet with Clustering Network Traffic

  • Author

    Cai, Tao ; Zou, Futai

  • fYear
    2012
  • fDate
    21-23 Sept. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Botnet is a great threat of the Internet nowadays. For now, Botnet has transformed to the complex one based on HTTP, P2P protocols from the simple Botnets which based on IRC protocol. In this paper, we evaluate the key features of HTTP Botnet and design a new method to detect the HTTP Botnet based on feature analysis. The experiment result shows that our method is effective and efficient on detecting HTTP Botnet.
  • Keywords
    Context; Educational institutions; Feature extraction; IP networks; Malware; Protocols; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
  • Conference_Location
    Shanghai, China
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-61284-684-2
  • Type

    conf

  • DOI
    10.1109/WiCOM.2012.6478491
  • Filename
    6478491