• DocumentCode
    2691293
  • Title

    Modeling the propagation of Peer-to-Peer worms under quarantine

  • Author

    Fan, Xiang ; Xiang, Yang

  • Author_Institution
    Sch. of Manage. & Inf. Syst., Central Queensland Univ., Rockhampton, QLD, Australia
  • fYear
    2010
  • fDate
    19-23 April 2010
  • Firstpage
    942
  • Lastpage
    945
  • Abstract
    Peer-to-Peer (P2P) worms have become a serious problem on the Internet because of its adaptive propagation features. Due to the complexity of the problem, no existing work has solved the problem of modeling the propagation of P2P worms, especially when quarantine of peers is enforced. This paper presents a study on modeling the propagation of P2P worms under quarantine. We strive to find a quarantine tactic which is able to protect the majority of the peers by quarantining only the minority of them. Our major contributions in this paper are firstly, we propose a novel logic matrix approach to modeling the propagation of P2P worms; and secondly, we find the impacts of the two different quarantine tactics on the propagation characteristics of P2P worms. Motivated by our aspiration to invent an easy-to-employ instrument for worm propagation research, the proposed approach models the propagation processes of P2P worms by difference equations of logic matrix, which are essentially discrete-time deterministic propagation models of P2P worms. To the best of our knowledge, we are the first using logic matrix in network security research in general and worm propagation modeling in particular.
  • Keywords
    computational complexity; computer network security; invasive software; peer-to-peer computing; P2P worms; adaptive propagation features; logic matrix; network security; peer-to-peer worms propagation; quarantine tactic; Information management; Instruments; Internet; Logic; Management information systems; Mathematical model; Peer to peer computing; Protection; Pulse inverters; Stochastic processes; modeling; peer-to-peer; propagation; worms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (NOMS), 2010 IEEE
  • Conference_Location
    Osaka
  • ISSN
    1542-1201
  • Print_ISBN
    978-1-4244-5366-5
  • Electronic_ISBN
    1542-1201
  • Type

    conf

  • DOI
    10.1109/NOMS.2010.5488333
  • Filename
    5488333