An incentive mechanism for data sharing based on blockchain with smart contracts☆

https://doi.org/10.1016/j.compeleceng.2020.106587Get rights and content
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Abstract

Data sharing techniques have progressively drawn increasing attention as a means of significantly reducing repetitive work. However, in the process of data sharing, the challenges regarding formation of mutual-trust relationships and increasing the level of user participation are yet to be solved. The existing solution is to use a third party as a trust organization for data sharing, but there is no dynamic incentive mechanism for data sharing with a large number of users. Blockchain 2.0 with smart contract has the natural advantage of being able to enable trust and automated transactions between a large number of users. This paper proposes a data sharing incentive model based on evolutionary game theory using blockchain with smart contract. The smart contract mechanism can dynamically control the excitation parameters and continuously encourages users to participate in data sharing.

Keywords

Blockchain
Data sharing
Game theory
Smart contract
Trust
Automation transaction
Incentive mechanism

Cited by (0)

Shichang Xuan received a Ph.D. degree in computer science and technology from Harbin Engineering University in 2017. He is currently an associate professor in Harbin Engineering University. His-main research interests include social networks and information security.

Li Zheng received a Bachelor's degree in network engineering from Chaohu University in 2016. He is currently a pursuing master's degree at Harbin Engineering University. His-main research interests include social networks and information security.

Ilyong Chung received M.S. and Ph.D. degrees in computer science from City University of New York in 1987 and 1991. Since 1994, he has been a professor in the Dept. of Computer Engineering at Chosun University, Gwangju, Korea. His-research interests are in computer networking, security systems and coding theory.

Wei Wang received a Ph.D. degree in Computer System Architecture from the School of Computer Science and Technology at the Harbin Institute of Technology. He is currently a professor at Harbin Engineering University. His-main research interests include social networks, and information security. He is a member of CCF.

Dapeng Man received a Ph.D. degree in computer science and technology from Harbin Engineering University in 2009. He is currently an assistant professor in Harbin Engineering University. His-main research interests include wireless sensor networks and mobile computing.

Xiaojiang Du is from the Dept. of Computer and Information Sciences, Temple University, Philadelphia PA 19,122, USA,. His-research interests are wireless communications, wireless networks, security, and systems.

Wu Yang received a Ph.D. degree in Computer System Architecture from the School of Computer Science and Technology at the Harbin Institute of Technology. He is currently a professor and doctoral supervisor of Harbin Engineering University. His-main research interests include wireless sensor networks, peer-to-peer networks and information security. He is a member of ACM and senior member of CCF.

Mohsen Guizani is from the Dept. of Electrical and Computer Engineering, University of Idaho, Moscow, Idaho, USA. His-research interests include wireless communications and mobile computing, computer networks, mobile cloud computing, security, and grid.

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This paper is for CAEE special section SI-bcia. Reviews processed and recommended for publication to the Editor-in-Chief by Guest Editor Prof. Khaled Salah.

© 2020 The Authors. Published by Elsevier Ltd.