| Title | Security Protection Technology of Electrical Power System Based on Edge Computing |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Zhang, Tengyue, Chen, Liang, Han, Wen, Lin, Haojie, Xu, Aidong, Zhou, Zhiyu, Chen, Zhiwei, Jiang, Yixin, Zhang, Yunan |
| Conference Name | 2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) |
| Date Published | jan |
| Keywords | access authentication, data privacy, data privacy protection, edge computing, Encryption, Metrics, power grids, pubcrawl, Real-time Systems, resilience, Resiliency, Scalability, security, security protection, Smart grid, smart grid security, Smart grids |
| Abstract | In this paper, we mainly introduce the security protection technology of smart grid based on edge computing and propose an edge computing security protection architecture based on multi-service flexible mechanism. Aiming at the real time requirements of heterogeneous energy terminal access and power edge computing business in multiple interactive environment, a real-time and strong compatibility terminal security access mechanism integrating physical characteristics and lightweight cryptographic mechanism is proposed. According to different power terminal security data requirements, the edge computing data transmission, processing security and privacy protection technology are proposed. In addition, in the power system of distribution, microgrid and advanced metering system, the application of edge computing has been well reflected. Combined with encryption technology, access authentication, the security defense of edge data, edge equipment and edge application is carried out in many aspects, which strengthens the security and reliability of business penetration and information sharing at the edge of power grid, and realizes the end-to-end and end-to-system security prevention and control of power grid edge computing. |
| DOI | 10.1109/ICPECA51329.2021.9362710 |
| Citation Key | zhang_security_2021 |
Security Protection Technology of Electrical Power System Based on Edge Computing