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Fuzzy techniques for trust and reputation management in anonymous peer‐to‐peer systems

Author

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  • Roberto Aringhieri
  • Ernesto Damiani
  • Sabine De Capitani Di Vimercati
  • Stefano Paraboschi
  • Pierangelo Samarati

Abstract

Peer‐to‐peer (P2P) applications are rapidly gaining acceptance among users of Internet‐based services, especially because of their capability of exchanging resources while preserving the anonymity of both requesters and providers. However, concerns have been raised about the possibility that malicious users can exploit the network to spread tampered‐with resources (e.g., malicious programs and viruses). A considerable amount of research has thus focused on the development of trust and reputation models in P2P networks. In this article, we propose to use fuzzy techniques in the design of reputation systems based on collecting and aggregating peers' opinions. Fuzzy techniques are used in the evaluation and synthesis of all the opinions expressed by peers. The behavior of the proposed system is described by comparison with probabilistic approaches.

Suggested Citation

  • Roberto Aringhieri & Ernesto Damiani & Sabine De Capitani Di Vimercati & Stefano Paraboschi & Pierangelo Samarati, 2006. "Fuzzy techniques for trust and reputation management in anonymous peer‐to‐peer systems," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(4), pages 528-537, February.
    • Handle: RePEc:bla:jamist:v:57:y:2006:i:4:p:528-537
    DOI: 10.1002/asi.20307
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    Cited by:

    1. Aringhieri, Roberto & Duma, Davide & Fragnelli, Vito, 2018. "Modeling the rational behavior of individuals on an e-commerce system," Operations Research Perspectives, Elsevier, vol. 5(C), pages 22-31.
    2. Fu, Xiao & Tan, Hao & Tsenina, Ekaterina & Liu, Shuchun & Han, Guanghua, 2022. "Information sharing based on two-way perceptions of trust and supply chain decisions: A simulation based approach," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).

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