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CLC number: TP393

On-line Access: 2010-12-09

Received: 2009-11-27

Revision Accepted: 2010-08-19

Crosschecked: 2010-09-28

Cited: 2

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.12 P.967-975


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

Author(s):  Bo-wei Yang, Guang-hua Song, Yao Zheng

Affiliation(s):  Center for Engineering and Scientific Computation, Zhejiang University, Hangzhou 310027, China, School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China, School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   boweiy, ghsong, yao.zheng@zju.edu.cn

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

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.

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%T An incentive model for voting based on information-hiding in P2P networks
%A Bo-wei Yang
%A Guang-hua Song
%A Yao Zheng
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%P 967-975
%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C0910727

T1 - An incentive model for voting based on information-hiding in P2P networks
A1 - Bo-wei Yang
A1 - Guang-hua Song
A1 - Yao Zheng
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 12
SP - 967
EP - 975
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C0910727

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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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