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A topological potential weighted community-based recommendation trust model for P2P networks

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Abstract

Peer-to-Peer (P2P) technology has experienced its great popularity for resource sharing in current network services. However, lacking of prior experience and knowledge about other peers’ reputation, P2P suffer from malicious behaviors launched by malicious peers. Developing effective strategies to establish trust model for the P2P system is a good way to address this problem. In this paper, we propose a novel topological potential weighted community-based recommendation trust (TPCommuTrust) model architecture, which is based on topological potential weighted community credential to score and rate peers’ previous data transactions. Contributed by topological potential, which characterizes repercussion effect between peers, the reputation model of the peers is created. The unique and efficient mechanism is proposed to perform data transaction based on credentials intra and inter-community. Moreover, how TPCommuTrust can provide an access control against malicious peers is illustrated as well. Simulation results show that TPCommuTrust model is robust and highly efficient to identify malicious nodes.

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Acknowledgment

The work is supported by the NSFC (Grant No. 61032003, 61271172), RFDP (Grant No. 20120185110030, 20130185130002), SRF for ROCS, SEM and Sichuan International Corporation Project (Grant No. 2013HH0005).

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Authors and Affiliations

  1. National Key Laboratory of Science and Technology on Communication, University of Electronic Science and Technology of China, Chengdu, China

    Qiyi Han, Hong Wen, Mengyin Ren & Shengqiang Li

  2. School of Computer Science and Technology, Tian Jin University, # 92 Wei Jin Road, Nan Kai District, Tian Jin, People’s Republic of China

    Bin Wu

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  1. Qiyi Han
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  2. Hong Wen
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Correspondence to Hong Wen.

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Han, Q., Wen, H., Ren, M. et al. A topological potential weighted community-based recommendation trust model for P2P networks. Peer-to-Peer Netw. Appl. 8, 1048–1058 (2015). https://doi.org/10.1007/s12083-014-0288-9

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  • DOI: https://doi.org/10.1007/s12083-014-0288-9

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