An Improved Biometric Fuzzy Signature with Timestamp of Blockchain Technology for Electrical Equipment Maintenance
作者机构：State Grid Xuzhou Power Supply Company of Jiangsu Electric Power Co.Ltd.Xuzhou221000China State Grid Jiangsu Electric Power Co.Ltd.Nanjing211000China State Grid Jiangsu Electric Power Co.Ltd.Research InstituteNanjing211103China State Grid Yancheng Power Supply Company of Jiangsu Electric Power Co.Ltd.Yancheng224000China
出 版 物：《Energy Engineering》 (能源工程（英文）)
年 卷 期：2022年第119卷第6期
页 面：2621-2636页
核心收录：
学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学]
基 金：This research was funded by science and technology project of State Grid JiangSu Electric Power Co. Ltd.(Research on Key Technologies of power network security digital identity authentication and management and control based on blockchain Grant No.is J2021021)
主 题：Blockchain technology fault diagnosis of electrical equipment biometric fuzzy signature timestamp deep learning technology
摘 要：The power infrastructure of the power system is massive in size and dispersed throughout the ***,how to protect the information security in the operation and maintenance of power equipment is a difficult *** paper proposes an improved time-stamped blockchain technology biometric fuzzy feature for electrical equipment *** 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 ***,the effectiveness of the proposed method is verified by experiments.
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