A Self-Organizing Trust Model for Peer-to-Peer Systems

  • Unique Paper ID: 146090
  • PageNo: 1249-1252
  • Abstract:
  • Open nature of peer-to-peer systems exposes them to malicious activity. Building trust relationships among peers can mitigate attacks of malicious peers. This paper presents distributed algorithms that enable a peer to reason about trustworthiness of other peers based on past interactions and recommendations. Peers create their own trust network in their proximity by using local information available and do not try to learn global trust information. Two contexts of trust, service, and recommendation contexts are defined to measure trustworthiness in providing services and giving recommendations. Interactions and recommendations are evaluated based on importance, recentness, and peer satisfaction parameters. Additionally, recommender’s trustworthiness and confidence about a recommendation are considered while evaluating recommendations.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{146090,
        author = {M Mounika and S Ramesh},
        title = {A Self-Organizing Trust Model for Peer-to-Peer Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {1249-1252},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146090},
        abstract = {Open nature of peer-to-peer systems exposes them to malicious activity. Building trust relationships among peers can mitigate attacks of malicious peers. This paper presents distributed algorithms that enable a peer to reason about trustworthiness of other peers based on past interactions and recommendations. Peers create their own trust network in their proximity by using local information available and do not try to learn global trust information. Two contexts of trust, service, and recommendation contexts are defined to measure trustworthiness in providing services and giving recommendations. Interactions and recommendations are evaluated based on importance, recentness, and peer satisfaction parameters. Additionally, recommender’s trustworthiness and confidence about a recommendation are considered while evaluating recommendations.},
        keywords = {purpose of the system, existing system, proposed system, architecture, modules},
        month = {},
        }

Cite This Article

Mounika, M., & Ramesh, S. (). A Self-Organizing Trust Model for Peer-to-Peer Systems. International Journal of Innovative Research in Technology (IJIRT), 4(11), 1249–1252.

Related Articles