Research on Collaborative Governance of Data Security in the Whole Life Cycle of Electric Power Manufacturing Data Space

Abstract

Data space is a technology system that allows data to be connected securely and efficiently. In the full life cycle of data space data, data collection, data storage, processing, transmission, exchange and destruction, and provision of services according to the dynamic changes of the subject's needs, is a brand-new data management model. This article first starts from the data security risk assessment of the data space of the electric power manufacturing industry, has analyzed the data characteristics of the data space of the electric power manufacturing industry, and sorted out the actual needs of data security. Then, based on the data life cycle process, the risk index of data space data security of electric power manufacturing enterprises are screened out. And used the method of combining Likert five-level scale and questionnaire to assess the amount of risk, graded risk index and proposed corresponding management measures, and constructed a dynamic cycle data security risk assessment model. Finally, a security governance system for data collection, data fusion and data transmission and other data full life cycle multi-faceted collaborative governance was established, and the data security risk of a Beijing electric power manufacturing company was evaluated, and put forward suggestions on how to coordinate the management of data security risks of power manufacturing enterprises.