Research Article
Privacy-Preserving Blockchain Supervision with Responsibility Tracking
@INPROCEEDINGS{10.1007/978-3-031-54521-4_14, author={Baodong Wen and Yujue Wang and Yong Ding and Haibin Zheng and Hai Liang and Changsong Yang and Jinyuan Liu}, title={Privacy-Preserving Blockchain Supervision with Responsibility Tracking}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part I}, proceedings_a={COLLABORATECOM}, year={2024}, month={2}, keywords={blockchain supervision equality test privacy protection malicious user tracking}, doi={10.1007/978-3-031-54521-4_14} }- Baodong Wen
Yujue Wang
Yong Ding
Haibin Zheng
Hai Liang
Changsong Yang
Jinyuan Liu
Year: 2024
Privacy-Preserving Blockchain Supervision with Responsibility Tracking
COLLABORATECOM
Springer
DOI: 10.1007/978-3-031-54521-4_14
Abstract
Blockchain technology is a strategic technology to support the development of digital economy, which helps to promote data sharing, improve the efficiency of communication and build a trusted system. With the continuous development of blockchain technology, security problems caused by lack of regulation are also frequent. Also, the supervision process needs to check the data information on the blockchain, which may lead to the disclosure of users’ privacy information. To solve the above problems, this paper proposes a privacy protection blockchain supervision scheme (PBS) that supports ciphertext supervision and malicious user tracking. The PBS supports the supervision of ciphertext data on the blockchain, meaning that regulators do not need to decrypt it and can perform supervision without plaintext. This ensures that the private data of users on the blockchain would not be compromised in the process of supervision. Moreover, the scheme supports the tracking of the sender of the offending information. Theoretical analysis and comparison show that the proposed PBS can effectively ensure the privacy of user data on blockchain, and experimental analysis demonstrates the practicability of the scheme.
