{"title":"网格数据安全分类分级的研究与实践","authors":"Jinqiang Fan, Yonggang Xu, Jing Ma, Yaming Cao, Chen Zheng, Jing Yang","doi":"10.1109/ICoPESA56898.2023.10141076","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of untargeted security classification and grading methods in the process of power grid data governance, this paper proposes a classification and grading method that combines the characteristics of power grid services by deeply analyzing the mainstream data security classification and grading standards at home and abroad. This method starts from combing the power grid business lines, goes through the process of service refinement, data classification, and data grading, and finally gives targeted protective measures. This method is in line with the actual operation of the power grid, and clarifies the responsible subject of data classification and grading, so it is easy to implement and facilitate the update of classification and classification. In the process of data grading, the degree of influence and scope of influence on multiple objects are fully considered, and the power grid data is divided into four levels to facilitate data management, which basically conforms to the status quo of power grid data classification and lays a foundation for power grid data governance.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research and Practice of Grid Data Security Classification and Grading\",\"authors\":\"Jinqiang Fan, Yonggang Xu, Jing Ma, Yaming Cao, Chen Zheng, Jing Yang\",\"doi\":\"10.1109/ICoPESA56898.2023.10141076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to solve the problem of untargeted security classification and grading methods in the process of power grid data governance, this paper proposes a classification and grading method that combines the characteristics of power grid services by deeply analyzing the mainstream data security classification and grading standards at home and abroad. This method starts from combing the power grid business lines, goes through the process of service refinement, data classification, and data grading, and finally gives targeted protective measures. This method is in line with the actual operation of the power grid, and clarifies the responsible subject of data classification and grading, so it is easy to implement and facilitate the update of classification and classification. In the process of data grading, the degree of influence and scope of influence on multiple objects are fully considered, and the power grid data is divided into four levels to facilitate data management, which basically conforms to the status quo of power grid data classification and lays a foundation for power grid data governance.\",\"PeriodicalId\":127339,\"journal\":{\"name\":\"2023 International Conference on Power Energy Systems and Applications (ICoPESA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Power Energy Systems and Applications (ICoPESA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICoPESA56898.2023.10141076\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICoPESA56898.2023.10141076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and Practice of Grid Data Security Classification and Grading
In order to solve the problem of untargeted security classification and grading methods in the process of power grid data governance, this paper proposes a classification and grading method that combines the characteristics of power grid services by deeply analyzing the mainstream data security classification and grading standards at home and abroad. This method starts from combing the power grid business lines, goes through the process of service refinement, data classification, and data grading, and finally gives targeted protective measures. This method is in line with the actual operation of the power grid, and clarifies the responsible subject of data classification and grading, so it is easy to implement and facilitate the update of classification and classification. In the process of data grading, the degree of influence and scope of influence on multiple objects are fully considered, and the power grid data is divided into four levels to facilitate data management, which basically conforms to the status quo of power grid data classification and lays a foundation for power grid data governance.