• DocumentCode
    1845422
  • Title

    Trust Path-Searching Algorithm Based on PSO

  • Author

    Zeng, Zhiwen ; Gao, Ya ; Chen, Zhigang ; Deng, Xiaoheng

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    1975
  • Lastpage
    1979
  • Abstract
    As there are many malicious nodes spreading false information in P2P networks, it is of great importance to build a sound mechanism of trust in the P2P environments. To avoid the shortage of the existing trust model, this paper provides a Trust Path-Searching Algorithm based on PSO. In this algorithm, after initializing the particle swarm, each particle can update its speed and location according to its information, and then produce a new particle with better value. Doing that process continuously, implementing the global search of the space, finally, we can get a better overall value, which is the better trust path in the networks. The simulation results show that it can get the overall optimum solution in a relatively short time after many times of iteration, and the more times it iterates, the better the trust path is. It can be proved that to a certain extent, the algorithm can prevent the fraud.
  • Keywords
    particle swarm optimisation; peer-to-peer computing; search problems; security of data; P2P networks; PSO; false information; fraud; malicious nodes; trust path-searching algorithm; Acoustical engineering; Algorithm design and analysis; Analytical models; Computer networks; Information science; Network servers; Particle swarm optimization; Peer to peer computing; Scalability; Software algorithms; PSO; Trust path; trust model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3398-8
  • Electronic_ISBN
    978-0-7695-3398-8
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.214
  • Filename
    4709276