Shi Chen, JingJing Wang, Zhengxuan Yu, Huan Xu, Chenxi Dong
{"title":"一种具有灵活访问控制的智能电网云辅助数据处理方案","authors":"Shi Chen, JingJing Wang, Zhengxuan Yu, Huan Xu, Chenxi Dong","doi":"10.1145/3579654.3579693","DOIUrl":null,"url":null,"abstract":"Compared with traditional power grid, smart grid provides more efficient power transmission and real-time data acquisition. However, data processing in smart grid involves heavy overheads in storage and computation, and user privacy needs to be considered. In order to address these issues, many privacy preserving data aggregation schemes have been proposed for smart grid, and it has been suggested to outsource the computation and storage to the cloud platform for performance improvement. However, most of the existing solutions still suffer some limitations. First, a single cloud server is normally used to process the data, and sensitive information might be leaked if this server is malicious. Second, proper access control is crucial for data protection, but many schemes have not considered this feature. Therefore, the existing solutions still cannot meet the requirements in practical applications. In this paper, we propose a cloud-assisted secure data processing scheme for smart grid with flexible access control. Smart meters use encryption to protect the data, while the decryption is performed in a distributed fashion. Moreover, attribute based encryption (ABE) is applied to realise flexible access control for the power consumption data. Therefore, our scheme achieves both privacy protection and access control. Since most of the expensive operations can be outsourced to the cloud platform, our scheme is very efficient for practical use.","PeriodicalId":146783,"journal":{"name":"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Cloud-Assisted Data Processing Scheme for Smart Grid with Flexible Access Control\",\"authors\":\"Shi Chen, JingJing Wang, Zhengxuan Yu, Huan Xu, Chenxi Dong\",\"doi\":\"10.1145/3579654.3579693\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Compared with traditional power grid, smart grid provides more efficient power transmission and real-time data acquisition. However, data processing in smart grid involves heavy overheads in storage and computation, and user privacy needs to be considered. In order to address these issues, many privacy preserving data aggregation schemes have been proposed for smart grid, and it has been suggested to outsource the computation and storage to the cloud platform for performance improvement. However, most of the existing solutions still suffer some limitations. First, a single cloud server is normally used to process the data, and sensitive information might be leaked if this server is malicious. Second, proper access control is crucial for data protection, but many schemes have not considered this feature. Therefore, the existing solutions still cannot meet the requirements in practical applications. In this paper, we propose a cloud-assisted secure data processing scheme for smart grid with flexible access control. Smart meters use encryption to protect the data, while the decryption is performed in a distributed fashion. Moreover, attribute based encryption (ABE) is applied to realise flexible access control for the power consumption data. Therefore, our scheme achieves both privacy protection and access control. Since most of the expensive operations can be outsourced to the cloud platform, our scheme is very efficient for practical use.\",\"PeriodicalId\":146783,\"journal\":{\"name\":\"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3579654.3579693\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3579654.3579693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Cloud-Assisted Data Processing Scheme for Smart Grid with Flexible Access Control
Compared with traditional power grid, smart grid provides more efficient power transmission and real-time data acquisition. However, data processing in smart grid involves heavy overheads in storage and computation, and user privacy needs to be considered. In order to address these issues, many privacy preserving data aggregation schemes have been proposed for smart grid, and it has been suggested to outsource the computation and storage to the cloud platform for performance improvement. However, most of the existing solutions still suffer some limitations. First, a single cloud server is normally used to process the data, and sensitive information might be leaked if this server is malicious. Second, proper access control is crucial for data protection, but many schemes have not considered this feature. Therefore, the existing solutions still cannot meet the requirements in practical applications. In this paper, we propose a cloud-assisted secure data processing scheme for smart grid with flexible access control. Smart meters use encryption to protect the data, while the decryption is performed in a distributed fashion. Moreover, attribute based encryption (ABE) is applied to realise flexible access control for the power consumption data. Therefore, our scheme achieves both privacy protection and access control. Since most of the expensive operations can be outsourced to the cloud platform, our scheme is very efficient for practical use.