• DocumentCode
    3543106
  • Title

    A new architecture for detecting DDoS/brute forcing attack and destroying the botnet behind

  • Author

    Zahid, Mohammed ; Belmekki, Abdelhamid ; Mezrioui, Abdellatif

  • Author_Institution
    Dept. of Inf., FSTM, Mohammadia, Morocco
  • fYear
    2012
  • fDate
    10-12 May 2012
  • Firstpage
    899
  • Lastpage
    903
  • Abstract
    Distributed Denial of Service (DDoS) attacks using Botnets became widely used in the Internet because of its efficiency and easy implementation. We will present in this paper a new architecture that stops DDoS attacks based on Botnet C&C (Command & control) and identify the Botmaster (the bots owner) machine. Unlike the researches done in the attack trace-back algorithms, the aim of this architecture is not only to determine the Internet Relay Chat (IRC) servers used to control the Botnet. But also to remove the bots from the infected machines and to revel the Botmaster identity This architecture is composed of a DDoS attacks detection agents*, spy agents* and a central agent* that coordinates between the other agents during the attack trace-back process. The trace-back process is based on hacking method in order to infiltrate the Botnet and get information about the attacker and the bots he uses. This architecture is designed to be used by the Internet service providers.
  • Keywords
    Internet; computer crime; DDoS/brute forcing attack; Internet relay chat servers; Internet service providers; botmaster; botnet C&C; command & control; distributed denial of service attacks; Computer architecture; Computer crime; IP networks; Internet; Protocols; Servers; Botnet; BrutForcing; DDoS; Trace-back analysis; hijacking; networking; security; spamming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems (ICMCS), 2012 International Conference on
  • Conference_Location
    Tangier
  • Print_ISBN
    978-1-4673-1518-0
  • Type

    conf

  • DOI
    10.1109/ICMCS.2012.6320256
  • Filename
    6320256