@Article{2018.100000053,
AUTHOR = {Wenbo Shi, Jiaqi Wang, Jinxiu Zhu, YuPeng Wang, Dongmin Choi},
TITLE = {A Novel Privacy‐Preserving Multi‐Attribute Reverse Auction Scheme with Bidder Anonymity Using Multi‐Server Homomorphic Computation},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {1},
PAGES = {171--181},
URL = {http://www.techscience.com/iasc/v25n1/39644},
ISSN = {2326-005X},
ABSTRACT = {With the further development of Internet, the decision-making ability of the 
smart service is getting stronger and stronger, and the electronic auction is 
paid attention to as one of the ways of decision system. In this paper, a secure 
multi-attribute reverse auction protocol without the trusted third party is 
proposed. It uses the Paillier public key cryptosystem with homomorphism and 
combines with oblivious transfer and anonymization techniques. A single 
auction server easily collides with a bidder, in order to solve this problem, a 
single auction server is replaced with multiple auction servers. The proposed 
scheme uses multiple auction servers to calculate the attributes under 
encryption protection and obtains the linear additive score function value 
finally. Since the attribute is calculated under the protection of encryption, the 
proposed scheme achieves privacy-preserving winner determination with bid 
privacy. Furthermore, the proposed scheme uses oblivious transfer and 
anonymization techniques to achieve bidder anonymity. In accordance with the 
security analysis, major properties, bidder anonymity and somewhat reducing 
collusion possibilities, are provided under the semi-honest model. According to 
a comparison of computation, the proposal’s computation cost is reasonable.},
DOI = {10.31209/2018.100000053}
}