• DocumentCode
    1568917
  • Title

    Building scale-free overlay mix networks with small-world properties

  • Author

    Tianbo Lu ; Binxing Fang ; Yuzhong Sun ; Xueqi Cheng

  • Author_Institution
    Software Div., Chinese Acad. of Sci., Beijing, China
  • Volume
    2
  • fYear
    2005
  • Firstpage
    529
  • Abstract
    Anonymity likes company. Hence peer-to-peer networks, represented by Tarzan and MorphMix, have become a significant paradigm for anonymous communications because they are scaleable, self-organizing and reliable. However, little work has been done on how to build a peer-to-peer anonymous overlay network. To address this problem, we propose the following: (1) probability name-Dropper based upon node local in-degree (PNDI), a peer discovery scheme using only local information instead of global to build a peer-to-peer mix overlay; (2) a topology optimization scheme for resolving mismatch between the logical topology and the physical topology; (3) four local path selection strategies partially aiming at evaluating our peer discovery scheme. Simulation results show that this overlay presents scale-free and small-world properties, and our topology optimization scheme can effectively solve the mismatch problem and significantly reduce the traffic.
  • Keywords
    optimisation; peer-to-peer computing; telecommunication network topology; telecommunication security; telecommunication traffic; anonymous communication; peer-to-peer network; probability name-Dropper based upon node local In-degree; scale-free overlay mix networks; small-world property; topology optimization; Computers; Cryptography; IP networks; Network topology; Peer to peer computing; Relays; Sun; Telecommunication network reliability; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2005. ICITA 2005. Third International Conference on
  • Print_ISBN
    0-7695-2316-1
  • Type

    conf

  • DOI
    10.1109/ICITA.2005.88
  • Filename
    1489017