A State of the Art Review on Artificial Intelligence-Enabled Cyber Security in Smart Grid

Author:

Huang Hao,Chen Wentao,Fang WeidongORCID,Chen Wei,Ip Wai-Hung,Yung Kai-Leung

Publisher

Springer Nature Singapore

Reference20 articles.

1. National Energy Administration.: Measures for the Administration of Network Security in the Power Industry. National Energy Administration website (2022). http://zfxxgk.nea.gov.cn/2022-11/16/c_1310683235.htm

2. Zhang, T.: Research on Application of Artificial Intelligence in Grid Embedded Terminal Security Detection. Zhejiang University (2020)

3. Fang, W., Zhu, C., Zhang, W.: Toward secure and lightweight data transmission for cloud–edge–terminal collaboration in artificial intelligence of things. IEEE Internet Things J. 11(1), 105–113 (2024)

4. Zhu, C., Yang, J., Chen, S., Luo, Z.: Demand Response Technologi es Based on Artificial Intelligence Theories in Smart Grid. Shaanxi Electric Power 43(7), 63–69 (2015)

5. Fang, W., Zhu, C., Guizani, M., Rodrigues, J.J.P.C., Zhang, W.: HC-TUS: Human Cognition-based Trust Update Scheme for AI-enabled VANET. IEEE Network 37(5), 247–252 (2023)

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