| Title | Smart grid data security storage strategy based on cloud computing platform |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Jiang, Xin, Yang, Qifan, Ji, Wen, Chen, Yanshu, Cai, Yuxiang, Li, Xiaoming |
| Conference Name | 2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA) |
| Keywords | cloud computing, cloud computing platform, Computational modeling, Data models, Data security, entropy coding, grid data, Memory, Metrics, Power system dynamics, pubcrawl, resilience, Resiliency, Scalability, secure storage strategy, Smart grid, smart grid security |
| Abstract | 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. |
| DOI | 10.1109/ICSGEA53208.2021.00022 |
| Citation Key | jiang_smart_2021 |
Smart grid data security storage strategy based on cloud computing platform