Privacy computing is a key technology path to ensure data security and compliance in the process of data fusion applications. Its business models, application scenarios, technological changes, industrial trends, legal issues, etc. are becoming current political, industry, academic, research, and application concerns. Hot spot. Recently, Tencent released the "Tencent Privacy Computing White Paper 2021" to explore privacy computing from multiple perspectives such as the development background of privacy computing, technical systems, key application industries and scenarios, data security compliance, and future development prospects.

The white paper pointed out that blockchain will become an indispensable option in privacy computing products. On the basis of ensuring data credibility, data security, compliance, and reasonable and effective use can be realized. Mainly reflected in the following three aspects:

One is that the blockchain can guarantee the end-to-end privacy of private computing task data. Through the blockchain encryption algorithm technology, users cannot obtain transaction information in the network. The verification node can only verify the validity of the transaction but cannot obtain specific transaction information, thereby ensuring the privacy of transaction data, and can be based on user, business, transaction object, etc. Different levels of privacy protection settings for data and accounts are implemented to protect data privacy to the greatest extent.

The second is that the blockchain can guarantee the security of the entire life cycle of data in private computing. Blockchain technology uses a distributed data storage method. All nodes on the blockchain store a complete set of data. Any single node wants to modify these data, and other nodes can use their own saved backups to verify the falsification, thereby ensuring The data will not be tampered with or deleted. In addition, the asymmetric encryption and hash encryption technology used in the blockchain can effectively ensure data security and prevent leakage.

The third is that the blockchain can guarantee the traceability of the privacy calculation process. The entire process of data application, authorization, and calculation results is recorded and stored on the chain. The information recorded on the chain can be signed and confirmed by other participants to further improve the credibility of the data and pass the verification of the hash value. Match, realize the fast identification of information tampering. Based on the recording and authentication of data on the chain, smart contracts can be used to associate relevant data on the chain according to a unique identifier to build data traceability.

The white paper points out that the combination of blockchain and privacy computing enables collaborative computing and data privacy protection among multiple nodes without the need for collection and sharing of original data. At the same time, it can solve the problems of excessive data collection, data privacy protection, and single point of data storage leakage in the big data model. The blockchain ensures the credibility of the calculation process and data, and the privacy calculation realizes that the data is available but not visible. The two are combined with each other and complement each other to achieve a wider range of data collaboration.