• DocumentCode
    3307481
  • Title

    Research of an Innovative P2P-Based Botnet

  • Author

    Jian, Gao ; Yang, Yixian ; Zheng, Kangfeng ; Hu, Zhengming

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    214
  • Lastpage
    218
  • Abstract
    The research recently focuses on the integration of peer-to-peer frame as incremental improvements to botnet. In hybrid P2P botnet, it is important to find a mechanism to select neighbor list for every super node, in order to improve stability of communication when some super nodes lose. At the same time, it needs to select high performance and nearest node as a super node, to provide command request and file transport for other ordinary nodes. In this paper, we propose a neighbor list selecting method based on Strongly Connected Graph and analysis a super node selecting mechanism based on AHP. Evaluation shows that this mechanism can increase coverage probability of commands and decrease average connection time (ACT) between super node and ordinary node.
  • Keywords
    Authentication; Command and control systems; Information analysis; Information security; Laboratories; Machine vision; Man machine systems; Peer to peer computing; Protocols; Telecommunication switching; P2P; botnet; ordinary node; super node;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
  • Conference_Location
    Kaifeng, China
  • Print_ISBN
    978-1-4244-6595-8
  • Electronic_ISBN
    978-1-4244-6596-5
  • Type

    conf

  • DOI
    10.1109/MVHI.2010.135
  • Filename
    5532718