| Title | Power Grid Data Confirmation Model Based on Behavior Characteristics |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Lei, Qinyi, Sun, Qi, Zhao, Linyan, Hong, Dehua, Hu, Cailiang |
| Conference Name | 2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) |
| Date Published | oct |
| Keywords | behavior control, cloud computing, compositionality, Computational modeling, Data audit, data encryption, Data processing, Database systems, encryption audits, Java, power grids, Predictive Metrics, privacy protection, pubcrawl, Resiliency, Structured Query Language |
| Abstract | The power grid has high requirements for data security, and data security audit technology is facing challenges. Because the server in the power grid operating environment is considered untrustworthy and does not have the authority to obtain the secret key, the encrypted data cannot be parsed and the data processing ability of the data center is restricted. In response to the above problems, the power grid database encryption system was designed, and the access control module and the encryption module that should be written based on SQL statements were explained. The database encryption system was developed using the Java language and deployed in the cloud environment. Finally, the method was proved by experiments. feasibility. |
| DOI | 10.1109/ITNEC52019.2021.9587131 |
| Citation Key | lei_power_2021 |
Power Grid Data Confirmation Model Based on Behavior Characteristics