• DocumentCode
    1999042
  • Title

    On the Robustness of the Botnet Topology Formed by Worm Infection

  • Author

    Wang, Qian ; Chen, Zesheng ; Chen, Chao ; Pissinou, Niki

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
  • fYear
    2010
  • fDate
    6-10 Dec. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Peer-to-peer botnets formed by worm infection have become a real threat to the Internet and are expected to become rampant in the near future. In our previous work, we have analyzed the underlying botnet topology formed by worm infection, without considering potential user defenses. In this paper, we extend the study to characterize the evolution of the botnet structure when users patch or clean part of infected hosts after all vulnerable machines are compromised. Specifically, we examine the number of peers of an infected host and the size of disconnected botnets under random node removal through simulation. We find that when part of infected hosts are patched or cleaned, the distribution of the number of peers follows closely an exponential distribution, whereas the distribution of the size of isolated botnets is power-law. Moreover, we also evaluate a simple countermeasure by botnets that enhances topology robustness through worm re-infection, and show that re-infection can significantly mitigate the effectiveness of patching and cleaning on the botnet structure. We believe that such a study can not only provide better understandings on both the strength and the weakness of botnets, but also better prepare us for future attacks.
  • Keywords
    Internet; invasive software; peer-to-peer computing; telecommunication network topology; Internet; botnet topology; exponential distribution; peer-to-peer botnets; security threats; worm infection; Cleaning; Grippers; IEEE Communications Society; Internet; Peer to peer computing; Robustness; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
  • Conference_Location
    Miami, FL
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-5636-9
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2010.5684002
  • Filename
    5684002