多方隐私集合交集计算技术综述

With the rapid development of new technologies, such as the Internet and big data, more and more distributed data need to be processed by multiple parties. Therefore, privacy protection technology is facing greater challenges. Secure multi-party computation is an important privacy protection technology, which can provide solutions for the secure and efficient sharing of data. As an important branch of secure multi-party computation, Private Set Intersection (PSI) technology can calculate the intersection of private data sets of two or more participants under the premise of protecting the data privacy of participants. It can be divided into two-party PSI and multi-party PSI according to the number of participants. With the expansion of private data sharing scale, application scenarios with more than two participants are more and more common. Multi party PSI has the same technical basis as the two party PSI, but has essential differences. Firstly, the research progress of the two-party PSI is discussed. Then the development processes of multi-party PSI are analyzed in detail. The multi-party PSI is divided into traditional multi-party PSI and threshold multi-party PSI according to the different scenarios. At the same time, protocols in different scenarios are divided more carefully according to the different basic cryptographic protocols they used and their different functions. The typical protocols are analyzed, and the cryptographic protocols, security model, computation and communication complexity of the protocols are discussed. Finally, the research hotspots and future development directions of multi-party PSI are pointed out.