Advancing Power System Resilience through Information Network Security

Authors

  • Ziyu Lin

DOI:

https://doi.org/10.62051/ijcsit.v2n2.26

Keywords:

Power System; Network Security; Computer

Abstract

With the continuous development of informatization in the power industry, the importance of information security is becoming more and more prominent, and the test faced by the increasingly severe. The whole paper analyzes several major sources of threats to the security of the power system and the problems involved in LAN security management, and from the information security technology and management puts forward its ideas and methods to enhance the information security protection capability of the smart grid, enhance the information security of the autonomous and controllable capacity, and to enhance the information security of the power industry.

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References

Alimi, O. A., Ouahada, K., & Abu-Mahfouz, A. M. (2020). A review of machine learning approaches to power system security and stability. IEEE Access, 8, 113512-113531.

Miraftabzadeh, S. M., Foiadelli, F., Longo, M., & Pasetti, M. (2019, June). A survey of machine learning applications for power system analytics. In 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1-5). IEEE.

Liang, Y., Wang, X., Wu, Y. C., Fu, H., & Zhou, M. (2023). A Study on Blockchain Sandwich Attack Strategies Based on Mechanism Design Game Theory. Electronics, 12(21), 4417.

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Published

23-04-2024

Issue

Section

Articles

How to Cite

Lin, Z. (2024). Advancing Power System Resilience through Information Network Security. International Journal of Computer Science and Information Technology, 2(2), 226-229. https://doi.org/10.62051/ijcsit.v2n2.26