A Privacy-Preserving Blockchain Supervision Framework in the Multiparty Setting

Baodong Wen, Yujue Wang, Yong Ding, Haibin Zheng, Hai Liang, Huiyong Wang, Weizhi Meng
2021 Wireless Communications and Mobile Computing  
Data supervision is an effective method to ensure the legality of user data on blockchain. However, the massive growth of data makes it difficult to achieve data supervision in existing blockchain applications. Also, data supervision often leads to problems such as disclosure of transaction data and user privacy information. To address these issues, this paper proposes a privacy-preserving blockchain supervision system (BSS) in the multiparty setting, where a supervision chain is introduced to
more » ... ealize data supervision on blockchain. All sensitive information such as user information in the supervising data is encrypted by the attribute-based encryption (ABE) technology, so that both privacy protection and access control on user data can be achieved. Theoretical analysis and comparison show that the proposed BSS scheme is efficient, and experimental analysis indicates the practicality of our BSS scheme.
doi:10.1155/2021/5236579 fatcat:7e4bkimixvfr3m3jehunekoodm