Integration of Data Desensitization and Encryption Technologies in the Information Security Protection System of Power Grid Enterprises Based on Autonomous and Controllable Control

With the rapid advancement of smart grid technology, power grid enterprises are gradually building highly information-based and automated energy management systems, accumulating massive and sensitive data resources in this process. These data are not only important basis for enterprise operation decisions, but also contain enormous commercial and social value. However, while big data technology promotes deep mining of data value, it also greatly exacerbates the risks of data leakage and privacy infringement, posing a serious challenge to the information security of power grid enterprises and users. To address this challenge, this article proposes an information security protection system for power grid enterprises that integrates data anonymization and advanced encryption technology. The system uses intelligent recognition and analysis to finely desensitize sensitive data, and combines advanced encryption technology to encrypt storage and transmission of key data after desensitization. The experimental results show that the system can not only significantly improve the security of data processing in power grid enterprises, but also promote efficient flow and sharing of data while ensuring data privacy, providing a solid information security guarantee for the sustainable development of smart grids.