Data Sharing System Based on Blockchain to Enhance The Visible of Meta Data Information in Privacy Computing
Hao Wu, Sen Wang, Genghua Dong, Mengmeng Zhou, Yu Liu, Lin Zhang · 2023
Blockchain and privacy computing, as two hot technologies in the field of privacy protection today, have similar goals and different technical characteristics. How to better leverage data value while ensuring data privacy has become a concern for many blockchain and privacy computing vendors. In order to achieve this goal, many scholars deeply integrates blockchain technology with privacy computing technology through techno-logical innovation, combining the decentralized, tamper-proof of block chain with the trustworthy characteristics of privacy computing data. However, a data sharing system based on blockchain and privacy computing implements the security and privacy of data in computing, but it is unable to obtain the data of structure and the data of description. We propose a data sharing system called ChainMaker Privacy Computing (CPC) system to solve this problem. It provides a series of capabilities such as reliable data sources, reliable transaction authorization, reliable computing scheduling, reliable computing processes, reliable computing results, and end-to-end traceability and possess the function of decentralized, traceable, low tamper-resistant modification and the security and privacy of actual data. We design resource catalog to provide the trusted environment of data usage in privacy computing system and the visible for members in blockchain. Based on Cipher-Policy Attribute based Encryption (ABE), we design CPC-CP-ABE algorithm to implement attribute based encryption for fine-grained access control. The experiments result shows that the CPC system can finish the trusted data sharing to all organizations on blockchain.