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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
A Reputation System with Privacy and Incentive
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Yang Bo, Zhou Min, Li Guohuan, "A Reputation System with Privacy and Incentive," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 1, pp. 333-338, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.161,
author = {Yang Bo and Zhou Min and Li Guohuan},
title = {A Reputation System with Privacy and Incentive},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {1},
year = {2007},
isbn = {0-7695-2909-7},
pages = {333-338},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.161},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - A Reputation System with Privacy and Incentive
SN - 0-7695-2909-7
SP333
EP338
A1 - Yang Bo,
A1 - Zhou Min,
A1 - Li Guohuan,
PY - 2007
KW - null
VL - 1
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Yang Bo, South China Agricultural University, China
Zhou Min, South China Agricultural University, China
Li Guohuan, National Laboratory for Modern Communications, China
Reputation systems are designed for reducing the risk entailed in interactions among total strangers in electronic marketplaces. Such systems can be used to collect and aggregate feedback on the past behavior of participants in electronic transactions, so as to derive reputation scores assumed to predict likely future behavior.

Privacy and incentive are mainly concerns in secure reputation systems for feedback providers to providing rating. In this paper, a reputation system is proposed, in which, feedback providers? privacy can be achieved through anonymous technique by using smart card, incentive for feedback provider to provide rating can be achieved through discount token technique by using hash chain.

Citation:
Yang Bo, Zhou Min, Li Guohuan, "A Reputation System with Privacy and Incentive," snpd, vol. 1, pp.333-338, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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