Privacy Protection and Query of Industrial Park Energy Usage Data Based on Searchable Encryption and Secure Multiparty Computation

In the industrial park, it involves a lot of energy consumption data, such as energy consumption, equipment running status and so on. These data packets contain business secrets and sensitive information of the enterprise. If these data are accessed or leaked without authorization during transmission and storage, they will face the risks of commercial competition and the infringement of intellectual property rights. Because the protection of data privacy needs to encrypt data, the traditional query method will be greatly affected. Therefore, a method is needed to ensure data privacy and realize efficient query and calculation. In this paper, a method of privacy protection and query of energy consumption data in industrial parks based on searchable encryption and secure multi-party computing is proposed. The results show that when the encrypted files in the database are increasing, the security of the master node based on searchable encryption and secure multi-party computing is higher than the traditional algorithm. By combining encryption technology and secure computing technology, this method realizes the privacy protection and efficient query of energy consumption data in industrial parks, which can meet the query requirements of users while protecting data privacy, and is widely used in industrial parks and other fields.