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An Improved Biometric Fuzzy Signature with Timestamp of Blockchain Technology for Electrical Equipment Maintenance

Rao Fu1,*, Liming Wang2, Xuesong Huo2, Pei Pei2, Haitao Jiang3, Zhongxing Fu4

1 State Grid Xuzhou Power Supply Company of Jiangsu Electric Power Co., Ltd., Xuzhou, 221000, China
2 State Grid Jiangsu Electric Power Co., Ltd., Nanjing, 211000, China
3 State Grid Jiangsu Electric Power Co., Ltd., Research Institute, Nanjing, 211103, China
4 State Grid Yancheng Power Supply Company of Jiangsu Electric Power Co., Ltd., Yancheng, 224000, China

* Corresponding Author: Rao Fu. Email: email

(This article belongs to the Special Issue: AI Based Planning, Dispatching, and Operation of New Energy Systems)

Energy Engineering 2022, 119(6), 2621-2636. https://doi.org/10.32604/ee.2022.020873

Abstract

The power infrastructure of the power system is massive in size and dispersed throughout the system. Therefore, how to protect the information security in the operation and maintenance of power equipment is a difficult problem. This paper proposes an improved time-stamped blockchain technology biometric fuzzy feature for electrical equipment maintenance. Compared with previous blockchain transactions, the time-stamped fuzzy biometric signature proposed in this paper overcomes the difficulty that the key is easy to be stolen by hackers and can protect the security of information during operation and maintenance. Finally, the effectiveness of the proposed method is verified by experiments.

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Cite This Article

APA Style
Fu, R., Wang, L., Huo, X., Pei, P., Jiang, H. et al. (2022). An improved biometric fuzzy signature with timestamp of blockchain technology for electrical equipment maintenance. Energy Engineering, 119(6), 2621-2636. https://doi.org/10.32604/ee.2022.020873
Vancouver Style
Fu R, Wang L, Huo X, Pei P, Jiang H, Fu Z. An improved biometric fuzzy signature with timestamp of blockchain technology for electrical equipment maintenance. Energ Eng. 2022;119(6):2621-2636 https://doi.org/10.32604/ee.2022.020873
IEEE Style
R. Fu, L. Wang, X. Huo, P. Pei, H. Jiang, and Z. Fu, “An Improved Biometric Fuzzy Signature with Timestamp of Blockchain Technology for Electrical Equipment Maintenance,” Energ. Eng., vol. 119, no. 6, pp. 2621-2636, 2022. https://doi.org/10.32604/ee.2022.020873



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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