Research on data privacy protection and identity verification mechanism in smart power system

As an important part of the contemporary energy field, intelligent power system is facing the challenges of data security and user privacy protection. In this paper, the problems of data privacy protection and authentication in smart power system are studied, and a joint data privacy protection and authentication mechanism based on deep learning is proposed. The mechanism comprehensively uses encryption technology, biometric identification and deep learning model to improve the security and user experience of the system. The effectiveness and performance of the mechanism are verified by experiments. The results show that the encryption model achieves high accuracy on the test set and protects the privacy of users’ electricity consumption behavior data. In addition, the paper also analyzes the influence of threshold on authentication performance, and discusses the future research direction. This study provides some theoretical guidance and technical support for the safe operation of smart power system and the protection of users’ privacy, and has certain practical application value.