• DocumentCode
    1718164
  • Title

    Detecting Malicious Peers in Overlay Multicast Streaming

  • Author

    Shetty, Samarth ; Galdames, Patricio ; Tavanapong, Wallapak ; Cai, Ying

  • Author_Institution
    Dept. of Comput. Sci., Iowa State Univ.
  • fYear
    2006
  • Firstpage
    499
  • Lastpage
    506
  • Abstract
    Overlay multicast streaming is built out of loosely coupled end-hosts (peers) that contribute resources to stream media to other peers. Peers, however, can be malicious. They may intentionally wish to disrupt the multicast service or cause confusions to other peers. We propose two new schemes to detect malicious peers in overlay multicast streaming. These schemes compute a level of trust for each peer in the network. Peers with a trust value below a threshold are considered to be malicious. Results from our simulations indicate that the proposed schemes can detect malicious peers with medium to high accuracy, depending on cheating patterns and malicious peer percentages
  • Keywords
    media streaming; multicast communication; peer-to-peer computing; malicious peers detection; media streaming; multicast service; overlay multicast streaming; Computational modeling; Computer crime; Computer networks; Computer science; Delay; Fault detection; Feedback; Peer to peer computing; Streaming media; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks, Proceedings 2006 31st IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0742-1303
  • Print_ISBN
    1-4244-0418-5
  • Electronic_ISBN
    0742-1303
  • Type

    conf

  • DOI
    10.1109/LCN.2006.322145
  • Filename
    4116592