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2023-01-20
Fan, Jinqiang, Xu, Yonggang, Ma, Jing.  2022.  Research on Security Classification and Classification Method of Power Grid Data. 2022 6th International Conference on Smart Grid and Smart Cities (ICSGSC). :72—76.

In order to solve the problem of untargeted data security grading methods in the process of power grid data governance, this paper analyzes the mainstream data security grading standards at home and abroad, investigates and sorts out the characteristics of power grid data security grading requirements, and proposes a method that considers national, social, and A grid data security classification scheme for the security impact of four dimensions of individuals and enterprises. The plan determines the principle of power grid data security classification. Based on the basic idea of “who will be affected to what extent and to what extent when the power grid data security is damaged”, it defines three classification factors that need to be considered: the degree of impact, the scope of influence, and the objects of influence, and the power grid data is divided into five security levels. In the operation stage of power grid data security grading, this paper sorts out the experience and gives the recommended grading process. This scheme basically conforms to the status quo of power grid data classification, and lays the foundation for power grid data governance.

2022-03-22
Jiang, Xin, Yang, Qifan, Ji, Wen, Chen, Yanshu, Cai, Yuxiang, Li, Xiaoming.  2021.  Smart grid data security storage strategy based on cloud computing platform. 2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA). :69—74.
Aiming at the security problems of traditional smart grid data security storage strategy, this paper proposes a smart grid data security storage strategy based on cloud computing platform. Based on the analysis of cloud computing and cloud storage, the security storage of smart grid data is modeled to improve the security storage performance of power system. The dynamic key mechanism is introduced to obtain the initial key information in the key chain and generate the dynamic secret key. The hyperchaotic system is used to obtain the modified bit plane code in the key chain to form the context and decision of data storage. MQ arithmetic encoder is used for entropy coding to generate the corresponding data storage compressed code stream, and the smart grid data storage key is improved. Combined with encryption processing and decryption processing, the secure storage of smart grid data is realized. The experimental results show that the smart grid data security storage strategy based on cloud computing platform increases the security of smart grid data storage.