Enhancing Energy Efficiency with a Dynamic Trust Measurement Scheme in Power Distribution Network
作者机构：Zhejiang Electric-Power Corporation Research InstituteZhejiang310014China Faculty of Information TechnologyBeijing University of TechnologyBeijing100124China Beijing Trusty Cloud Technology Co.Ltd.Beijing100022China Department of Computer Science and EngineeringGhulam Ishaq Khan Institute of Engineering Sciences and EngineeringTopi23640Pakistan Department of Computer ScienceShaheed Benazir Bhutto UniversitySheringalUpper Dir18050Pakistan Department of Computer ScienceCollege of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia School of Computing and Mathematical ScienceFaculty of Engineering and ScienceUniversity of GreenwichLondonSE109LSUK School of EngineeringEdith Cowan UniversityPerth6027Australia
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2024年第78卷第3期
页 面：3909-3927页
核心收录：
学科分类：1305[艺术学-设计学（可授艺术学、工学学位）] 13[艺术学] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程]
基 金：This project is partly funded by Science and Technology Project of State Grid Zhejiang Electric Power Co. Ltd.“Research on active Security Defense Strategies for Distribution Internet of Things Based on Trustworthy under Grant No.5211DS22000G”
主 题：IIoT trusted measure energy efficient
摘 要：The application of Intelligent Internet of Things(IIoT)in constructing distribution station areas strongly supports platform transformation,upgrade,and intelligent *** sensing layer of IIoT comprises the edge convergence layer and the end sensing layer,with the former using intelligent fusion terminals for real-time data collection and ***,the influx of multiple low-voltage in the smart grid raises higher demands for the performance,energy efficiency,and response speed of the substation fusion ***,it brings significant security risks to the entire distribution substation,posing a major challenge to the smart *** response to these challenges,a proposed dynamic and energy-efficient trust measurement scheme for smart grids aims to address these *** scheme begins by establishing a hierarchical trust measurement model,elucidating the trust relationships among smart IoT *** then incorporates multidimensional measurement factors,encompassing static environmental factors,dynamic behaviors,and energy *** comprehensive approach reduces the impact of subjective factors on trust ***,the scheme incorporates a detection process designed for identifying malicious low-voltage end sensing units,ensuring the prompt identification and elimination of any malicious ***,in turn,enhances the security and reliability of the smart grid *** effectiveness of the proposed scheme in pinpointing malicious nodes has been demonstrated through simulation ***,the scheme outperforms established trust metric models in terms of energy efficiency,showcasing its significant contribution to the field.
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