Research on distributed PV network terminal identification technology based on device fingerprint generation

Zhuo Lv; Wen Yang; Cen Chen; Zheng Zhang; Hao Chang

doi:10.1117/12.3023525

1 April 2024 Research on distributed PV network terminal identification technology based on device fingerprint generation

Zhuo Lv, Wen Yang, Cen Chen, Zheng Zhang, Hao Chang

Author Affiliations +

Proceedings Volume 12987, Third International Conference on Computer Technology, Information Engineering, and Electron Materials (CTIEEM 2023); 129870L (2024) https://doi.org/10.1117/12.3023525
Event: Third International Conference on Computer Technology, Information Engineering, and Electron Materials (CTIEEM 2023), 2023, Zhengzhou, China

Abstract

With the development of information technology and electric power industry, modern power grid system gradually integrates computer intelligent technology. Distributed photovoltaic network, as an important power supply system using new sustainable energy, contains a large number of intelligent terminal equipment, which leads to the distributed photovoltaic network facing more serious security threats. In order to promote the construction of distributed photovoltaic power network security protection system, this paper proposes an intelligent device fingerprint access technology for distributed photovoltaic power network system. Based on adaptive filtering, the device anti-forgery fingerprint is generated, which involves the field of artificial intelligence and network security. Among them, through the innovative combination of the adaptive filtering algorithm NLMS and LMS algorithm, the weighted average optimization of the feature set, combined with the artificial intelligence classification and recognition algorithm, the specific characteristics of the parameters at the convergence of the adaptive filtering technology are achieved, and efficient device fingerprint generation is realized. It can realize the device authentication of the distributed photovoltaic network intelligent terminal equipment access, so as to effectively improve the comprehensive defense capability of the distributed photovoltaic network.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhuo Lv, Wen Yang, Cen Chen, Zheng Zhang, and Hao Chang "Research on distributed PV network terminal identification technology based on device fingerprint generation", Proc. SPIE 12987, Third International Conference on Computer Technology, Information Engineering, and Electron Materials (CTIEEM 2023), 129870L (1 April 2024); https://doi.org/10.1117/12.3023525

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KEYWORDS

Photovoltaics

Tunable filters

Digital filtering

Fingerprint recognition

Network security

Detection and tracking algorithms

Electronic filtering

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