• DocumentCode
    1942622
  • Title

    Adapting the Right Infection Functions for Virus Propagation in Computer Networks

  • Author

    Yuan, Hua ; Wu, Junjie ; Chen, Guoqing

  • Author_Institution
    Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    28-29 Sept. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Recent years have witnessed the explosions of severe virus attacks to the computer networks for E-commerce. In light of this, researches on modeling virus propagation have drawn an increasing amount of interests in the literature. However, the group based infection mechanism of computer viruses remains unknown. To meet this challenge, in this paper, we propose a Point-to-Group (P2G) infection mode to gain insights of virus propagation in networks with information sharing groups. An E-type infection function has also been presented to characterize the P2G mode. Finally, our simulation results show that the E-type infection function indeed shows superior performances to that of the traditional I-type infection function in modeling the P2G virus infection mechanism.
  • Keywords
    computer viruses; peer-to-peer computing; telecommunication security; E-commerce; E-type infection function; Point-to-Group infection mode; computer networks; information sharing groups; right infection functions; virus attacks; virus propagation; Biology computing; Business continuity; Computational modeling; Computer networks; Computer viruses; Explosions; Immune system; Information security; Optical propagation; Viruses (medical);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Management of Information for Globalized Enterprises, 2008. AMIGE 2008. IEEE Symposium on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-3694-1
  • Electronic_ISBN
    978-1-4244-2972-1
  • Type

    conf

  • DOI
    10.1109/AMIGE.2008.ECP.59
  • Filename
    4721501