Survey of the Application of Privacy Computing Technology in the Electric-power Industry

With the advent of the Internet and big data era, the value of data is becoming increasingly significant and plays an increasingly important role in various fields. However, it also brings various problems, including data privacy and security. The power industry has collected and stored massive amounts of electricity data. It is particularly urgent to solve the contradiction between the security privacy protection and data sharing of these power big data, and realize the goal that the original data will not be exported, but the data "value" and "knowledge" will be exported. This paper sort out the application of privacy computing technology in the power industry through domestic and foreign literature surveys. This paper analyzes in detail how Secure multi-party computation, Federated learning, Trusted execution environment and other privacy computing technologies can solve the problem of sensitive data and privacy data protection in data sharing in the power industry. On this basis, a privacy protection framework suitable for the power industry based on privacy computing technology is proposed. Then, the impact of privacy computing technology on the power industry was summarized, as well as some challenges that may be encountered during implementation. At the end of the article, potential research directions and technological applications were pointed out, hoping to promote the development of privacy protection in the power industry.