1 Unit 96941 of PLA, Beijing 100080, China; 2 Tianhe Guoyun Technology Co., Ltd., Changsha 410000, China
Abstract： Privacy computing, as a solution for data security interaction, is a technology and system jointly calculated by two or more participants. Participants can collaborate to perform joint machine learning and analysis on data without disclosing their own data. Privacy computing can achieve "data availability and invisibility" and "data immutability", with the ability to strengthen data security compliance and ensure that private data is not leaked. It can be said that it is the "optimal solution" for current data security interaction and sensitive information protection. This article proposes a design scheme for a shared interaction platform based on privacy computing technology, focusing on data security sharing and collaborative applications. The technical architecture and logical architecture design are provided based on business practice, and key technologies and advantages and disadvantages are analyzed to provide solutions for secure data interaction and development utilization.
Key words : data resources; privacy computing; sharing and interaction
