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Peer-to-Peer Networking and Applications

Erschienen in:

01.12.2014

A D-S evidence theory based fuzzy trust model in file-sharing P2P networks

verfasst von: Chunqi Tian, Baijian Yang

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 4/2014

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Abstract

In this paper we propose an advanced Dempster-Shafer (D-S) Evidence Theory based Fuzzy Trust model (ETFT) for Peer-to-Peer (P2P) networks. The primary goal of ETFT is to be able to address trust information uncertainty and fuzzy trust inference to deal with inconsistent or conflicting recommendation problems in a reputation based P2P environment. The D-S theory is therefore introduced to our trust model. To make the D-S theory fit into P2P systems, we creatively revise the combination rules and achieve greatly improved results. To further improve the accuracy and performance, ETFT filters out noisy referrals before combining the evidences. From the theoretical analyses and experimental results, it is evident that the proposed ETFT has a clear advantage in modeling dynamic trust relationship and aggregating recommendation information. Results also demonstrate that ETFT is more robust and can generate higher successful transaction rate than most existing frameworks.

Vorheriger Artikel Detecting P2P botnets by discovering flow dependency in C&C traffic

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Titel: A D-S evidence theory based fuzzy trust model in file-sharing P2P networks
verfasst von: Chunqi Tian
Baijian Yang
Publikationsdatum: 01.12.2014
Verlag: Springer US
Erschienen in: Peer-to-Peer Networking and Applications / Ausgabe 4/2014
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI: https://doi.org/10.1007/s12083-012-0153-7

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