Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Special Section: Intelligent, Smart and Scalable Cyber-Physical Systems
Guest editors: V. Vijayakumar, V. Subramaniyaswamy, Jemal Abawajy and Longzhi Yang
Article type: Research Article
Authors: Wang, Jiaqia | Karuppiah, Marimuthub | Kumari, Saruc | Kong, Zhiyind | Shi, Wenboe; *
Affiliations: [a] School of Computer Science and Engineering, Northeastern University, Shenyang, China | [b] School of Computer Science and Engineering, VIT University, Vellore, Tamilnadu, India | [c] Department of Mathematics Chaudhary Charan Singh University Meerut, India | [d] Science and Technology on Information Assurance Laboratory, Beijing, China | [e] School of computer and Communication Engineering, Northeastern University At Qinhuangdao, Qinhuangdao, Hebei – P.R. China
Correspondence: [*] Corresponding author. Wenbo Shi, School of computer and Communication Engineering, Northeastern University At Qinhuangdao, Qinhuangdao, 066000, Hebei – P.R. China. E-mail: swb319@hotmail.com.
Abstract: In recent years, a large number of spectrum mechanisms have been proposed, but these mechanisms ignore the security issues that arise during the design of the mechanism. In this paper, two secure models for sealed-bid spectrum auction are given based on Wang’s generic spectrum auction mechanism. One is the basic model and another improved model based on the basic model is proposed, which maximizes Social welfare while it is a Privacy-preserving Spectrum auction mechanism with public Verification namely SPSV. The SPSV scheme achieves the properties of maximizing the social welfare but also, by using the double paillier cryptosystem, it is privacy-preserving for bidders’ bids without revealing any sensitive information to auctioneer or agent during the entire spectrum auction. Oblivious transfer is applied to ensure the anonymity of bidders. Furthermore, the use of inequality comparison proof also provides the public verification of winner group to verify the comparison relationship between winner groups and losing groups. At last, the performance analysis are given.
Keywords: Spectrum auction, social welfare, privacy-preserving, public verification
DOI: 10.3233/JIFS-169979
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 4215-4226, 2019
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl