重庆邮电大学学报（自然科学版）2023，Vol.35Issue(6)：1001-1010,10.DOI:10.3979/j.issn.1673-825X.202209280259
本地化差分隐私下的电力物联网终端数据隐私保护方法
Terminal data privacy protection method for power Internet of Things based on localized differential privacy
摘要
Abstract
Due to the high overhead and reliance on trusted third-party data centers,traditional terminal data privacy pro-tection methods are no longer suitable for resource-constrained power Internet of Things environment.Aiming at the above problems,this paper proposes a privacy protection method for power Internet of Things terminal data based on localized dif-ferential privacy.Localized differential privacy noise is added to the intelligent terminals of power IoT to blur the terminal data,and the Knuth-Durstenfeld algorithm is used to randomly shuffle the data to destroy the timing of the terminal data.Theoretical analysis and experimental results show that this method effectively enhances data security without affecting data availability.Compared with other methods,this method has lower computational and communication overheads,and does not rely on trusted third parties,enabling more efficient protection of the privacy data of power IoT terminals.关键词
差分隐私/电力物联网/隐私保护/智能终端Key words
differential privacy/power Internet of Things/privacy protection/smart terminal分类
信息技术与安全科学引用本文复制引用
宋祺鹏,王继东,张丽伟,高雅丽..本地化差分隐私下的电力物联网终端数据隐私保护方法[J].重庆邮电大学学报（自然科学版）,2023,35(6):1001-1010,10.基金项目
国家自然科学基金项目(62102040) （62102040）
国家电网公司总部科技项目(5500-202055466A-0-0-00)The National Natural Science Foundation of China(62102040) （5500-202055466A-0-0-00）
The National Grid Corporation Headquarters Sci-ence and Technology Project(5500-202055466A-0-0-00) （5500-202055466A-0-0-00）
