Set Intersection Computing Based on Privacy Protection of Cloud Platform in Teaching Data State Database

Privacy protection set intersection computing is a specific application problem in secure multi-party computing. It not only has important theoretical significance, but also has strong application background. In the era of big data in teaching and education, research on this issue is consistent with the increasingly strong demand for privacy protection while enjoying various services in teaching data. However, in the process of teaching and education, a large number of teaching data are often distributed in different entities. The traditional data collection and sharing method leave the data unreservedly to one party, which cannot protect the privacy of teachers and students. Centralized data processing is also vulnerable to external enemies, resulting in serious security threats such as data leakage. The introduction of laws and regulations related to data security and privacy, higher requirements are put forward for data storage, processing and sharing. Under the premise of privacy protection, how to use privacy protection technology to effectively protect teaching data has grown up to be a hot topic. This paper examines how to use privacy protection set intersection algorithm in teaching data state database.