Research on Data Desensitization in Power Data Governance Process

With the vigorous development of the power industry and the widespread application of big data, integrating, exchanging, and analyzing data to locate sensitive information and accurately and effectively protect sensitive information has become a key issue to be solved in data governance. This article analyzes mainstream desensitization methods, combines the characteristics of power grid data and desensitization needs, and constructs a dynamic data desensitization technology based on scenarios and user roles, focusing on the important object of the power grid-users. It carries out watermark based full process control and constructs dynamic data desensitization technology based on scenarios and user roles. It designs and configures flexible desensitization strategies and standardized processes to achieve automatic recognition and differential desensitization of sensitive data by user and scenario with high desensitization accuracy and fine granularity. Ensure the authenticity and availability of data while protecting user privacy.