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CLC number: TP393
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2010-09-28
Cited: 2
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An incentive model for voting based on information-hiding in P2P networks
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Bo-wei Yang, Guang-hua Song, Yao Zheng. An incentive model for voting based on information-hiding in P2P networks[J]. Journal of Zhejiang University Science C, 2010, 11(12): 967-975.
@article{title="An incentive model for voting based on information-hiding in P2P networks",
author="Bo-wei Yang, Guang-hua Song, Yao Zheng",
journal="Journal of Zhejiang University Science C",
volume="11",
number="12",
pages="967-975",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C0910727"
}
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%J Journal of Zhejiang University SCIENCE C
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%DOI 10.1631/jzus.C0910727
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T1 - An incentive model for voting based on information-hiding in P2P networks
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A1 - Yao Zheng
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C0910727
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.
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