Smart grid information security evaluation method based on risk weight algorithm

He Li; Zhiang Zhang; Jia Sun; Ziyi Qi; Yue Min; Zhi Qi

doi:10.1117/12.2626940

21 December 2021 Smart grid information security evaluation method based on risk weight algorithm

He Li, Zhiang Zhang, Jia Sun, Ziyi Qi, Yue Min, Zhi Qi

Proceedings Volume 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021); 121560X (2021) https://doi.org/10.1117/12.2626940
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 2021, Sanya, China

Abstract

Aiming at the problem of smart grid network information security assessment, this paper proposes a risk assessment method of smart grid network information security based on risk weight algorithm. Firstly, the information security evaluation model is established, and the existing standards are taken as the evaluation basis. Then, the hierarchy structure is established for the host security and network security, and the risk weight algorithm is used to analyze the model. The experimental results show that the evaluation method can effectively realize the quantitative evaluation of smart grid network information security.

Citation Download Citation

He Li, Zhiang Zhang, Jia Sun, Ziyi Qi, Yue Min, and Zhi Qi "Smart grid information security evaluation method based on risk weight algorithm", Proc. SPIE 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 121560X (21 December 2021); https://doi.org/10.1117/12.2626940

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available