Managing data for evaluating trust in unstructured peer-to-peer networks

  • Authors:

  • Zhitang Li;Huaiqing Lin;Chuiwei Lu;Yejiang Zhang

  • Affiliations:

  • Huazhong University of Science and Technology, Wuhan, P.R. China;Huazhong University of Science and Technology, Wuhan, P.R. China and Naval University of Engineering, Wuhan, P.R.China;Huazhong University of Science and Technology, Wuhan, P.R. China and HuangShi Institute of Technology, HuangShi, P.R. China;Huazhong University of Science and Technology, Wuhan, P.R. China

  • Venue:
  • GPC'08 Proceedings of the 3rd international conference on Advances in grid and pervasive computing
  • Year:
  • 2008

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Abstract

Managing data is a problem of particular importance in trust model of peer-to-peer environments where one frequently encounters unknown agents. Existing methods for data management, which are based on DHT or Random Selection, can not apply well in the unstructured Peer-to-Peer system. They do not scale as they either require additional overhead on maintaining DHT or rely on a central database. In this paper we present an approach that manages trust data through constructing Trust Relationship Network. We quantify performance in terms of number of hits, network overhead, and response time. We use locally maintained network information and former interactions with other peers to improve the performance of searching. We present extensive experimental evaluations to demonstrate the performance of our proposed solution.