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Journal of Zhejiang University SCIENCE C

ISSN 1869-1951(Print), 1869-196x(Online), Monthly

An incentive model for voting based on information-hiding in P2P networks

Abstract: We propose an incentive model based on information-hiding to encourage peers to vote for resources in peer-to-peer (P2P) networks. The following are key motives for our model: (1) Some trust and reputation systems have been deployed in modern P2P systems, but a lot of blank rating resources exist in these P2P systems; (2) E-commerce consumer-to-consumer (C2C) websites that adopt simple rating strategies are receiving accusations that false and useless ratings are flooded. We establish an information-hiding based RRR/RIR (resource reputation rating/reputation incentive rating) voting model, which awards or punishes voters according to their behaviors. The RRR generating algorithm and the RIR generating algorithm are presented in detail, and the information-hiding mechanism is given. Experimental results showed that the incentive RRR/RIR model can effectively encourage valid voting and prevent malicious or arbitrary voting in the P2P reputation system.

Key words: Peer-to-peer (P2P), Information-hiding, Incentive, Blank voting, Reputation system


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DOI:

10.1631/jzus.C0910727

CLC number:

TP393

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Cited:

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On-line Access:

2010-12-09

Received:

2009-11-27

Revision Accepted:

2010-08-19

Crosschecked:

2010-09-28

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