ChinaCom2009-Network and Information Security Symposium

Research Article

Incremental PID-like Algorithm Based Trust Model in Peer-to-peer Networks

  • @INPROCEEDINGS{10.1109/CHINACOM.2009.5339708,
        author={Jianguo Chen and Wai K. Yeap and Stefan D. Bruda},
        title={Incremental PID-like Algorithm Based Trust Model in Peer-to-peer Networks},
        proceedings={ChinaCom2009-Network and Information Security Symposium},
        publisher={IEEE},
        proceedings_a={CHINACOM2009-NIS},
        year={2009},
        month={11},
        keywords={Peer-to-peer network; reputation-based systems; trust model; PID algorithm},
        doi={10.1109/CHINACOM.2009.5339708}
    }
    
  • Jianguo Chen
    Wai K. Yeap
    Stefan D. Bruda
    Year: 2009
    Incremental PID-like Algorithm Based Trust Model in Peer-to-peer Networks
    CHINACOM2009-NIS
    IEEE
    DOI: 10.1109/CHINACOM.2009.5339708
Jianguo Chen1,*, Wai K. Yeap2,*, Stefan D. Bruda3,*
  • 1: 1College of Information Engineering, China Jiliang University, Hangzhou, 310018, China
  • 2: 2Centre for AI Research, Auckland University of Technology, Auckland 1142, New Zealand
  • 3: Department of Computer Science, Bishop’s University, Sherbrooke, Quebec J1M 1Z7, Canada
*Contact email: jgchen@cjlu.edu.cn, wai.yeap@aut.ac.nz, bruda@cs.ubishops.ca

Abstract

Peer-to-peer systems have gained immense popularity in the recent years, but trustworthiness of the services in P2P systems still remain a major concern. Trust is an important aspect of decision making and particularly influences the specification of security policy. A dependable trust model should be capable of handling the following important issues: dealing with sudden fluctuations in peer behavior, tolerating unintentional errors and overloading of trust metrics due to a long history of feedbacks. This paper reviews some trust systems and their models and presents a novel trust model which uses an incremental PID-like algorithm to deal with the above problems (PID stands for proportional, integral and derivative).