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DE‐RSTC: A rational secure two‐party computation protocol based on direction entropy

2022; Wiley; Volume: 37; Issue: 11 Linguagem: Inglês

10.1002/int.22975

1098-111X

Yuling Chen, Juan Ma, Xianmin Wang, Xinyu Zhang, Huiyu Zhou,

Privacy-Preserving Technologies in Data

International Journal of Intelligent SystemsVolume 37, Issue 11 p. 8947-8967 RESEARCH ARTICLE DE-RSTC: A rational secure two-party computation protocol based on direction entropy Yuling Chen, Yuling Chen orcid.org/0000-0002-8674-8356 State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, ChinaSearch for more papers by this authorJuan Ma, Juan Ma State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, ChinaSearch for more papers by this authorXianmin Wang, Corresponding Author Xianmin Wang [email protected] orcid.org/0000-0003-3480-8780 Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China Correspondence Xianmin Wang, Institute of Artificial Intelligence and Blockchain, Guangzhou University, 510002 Guangzhou, China. Email: [email protected]Search for more papers by this authorXinyu Zhang, Xinyu Zhang State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, ChinaSearch for more papers by this authorHuiyu Zhou, Huiyu Zhou School of Informatics, University of Leicester, England, United KingdomSearch for more papers by this author Yuling Chen, Yuling Chen orcid.org/0000-0002-8674-8356 State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, ChinaSearch for more papers by this authorJuan Ma, Juan Ma State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, ChinaSearch for more papers by this authorXianmin Wang, Corresponding Author Xianmin Wang [email protected] orcid.org/0000-0003-3480-8780 Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China Correspondence Xianmin Wang, Institute of Artificial Intelligence and Blockchain, Guangzhou University, 510002 Guangzhou, China. Email: [email protected]Search for more papers by this authorXinyu Zhang, Xinyu Zhang State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, ChinaSearch for more papers by this authorHuiyu Zhou, Huiyu Zhou School of Informatics, University of Leicester, England, United KingdomSearch for more papers by this author First published: 16 August 2022 https://doi.org/10.1002/int.22975Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract Rational secure multi-party computation means two or more rational parties complete a function on private inputs. Unfortunately, players sending false information can prevent the protocol from executing correctly, which will destroy the fairness of the protocol. To ensure the fairness of the protocol, the existing works on achieving fairness by specific utility functions. In this paper, we leverage game theory to propose the direction entropy-based solution. To this end, we utilize the direction entropy to examine the player's strategy uncertainty and quantify its strategy from different dimensions. Then, we provide mutual information to construct a new utility for the players. What's more, we measure the mutual information of players to appraise their strategies. By analyzing and proofing of protocol, we show that the protocol reaches a Nash equilibrium when players choose a cooperative strategy. Furthermore, we solve the fairness of the protocol. Compared to the previous approaches, our protocol is not required deposits and design-specific utility functions. CONFLICT OF INTEREST The authors declare no conflict of interest. Open Research DATA AVAILABILITY STATEMENT Data sharing is not applicable to this article as no new data were created or analyzed in this study. REFERENCES 1Chen Y, Dong S, Li T, Wang Y, Zhou H. Dynamic multi-key FHE in asymmetric key setting from LWE. IEEE Trans Inform Forensics Security. 2021; 16: 5239-5249. 2Zhao C, Zhao S, Zhao M, et al. Secure multi-party computation: theory, practice and applications. Inform Sci. 2019; 476: 357-372. 3Vu DH, Luong TD, Ho TB. An efficient approach for secure multi-party computation without authenticated channel. Inform Sci. 2020; 527: 356-368. 4Li T, Wang Z, Yang G, Cui Y, Chen Y, Yu X. 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