计算机应用研究2024，Vol.41Issue(4)：1198-1207,10.DOI:10.19734/j.issn.1001-3695.2023.07.0342
面向电力物联网流数据的一种具有隐私保护的KNN查询方法
Privacy-preserving KNN query method for streaming data in power Internet of Things
摘要
Abstract
The power Internet of Things(PIoT)is a smart service system that offers full-state awareness,efficient information processing,and convenient and flexible applications to users.However,these services also pose a risk of privacy leakage.The existing research on privacy protection of power data mainly concentrates on secure aggregation,but seldom addresses the core technology of many basic services,such as KNN query.Unlike traditional relational data,the PIoT collects flowing data of user electricity consumption,and the various power parameters exhibit dynamic correlations.Attackers can use data mining and other methods to infer future trends in data changes.Therefore,this paper proposed a privacy-preserving KNN query method.Firstly,it proposed a similarity measurement model based on bucket distance,and proved the upper and lower bounds of the error between the similarity measurement model based on bucket distance and the similarity measurement model based on Euclidean distance.Through this model,the similarity measurement could be transformed into set intersection operations.Then,it constructed a privacy-preserving function,which could generate different data privacy-preserving functions and query privacy-preserving functions for various smart terminals by substituting different parameters.Based on this,it proposed a data encoding scheme based on bucket partitioning and random number allocation.After being encrypted by the privacy-preserving function,the encoded data possessed the characteristic of ciphertext indistinguishability,and could effectively resist various attacks such as chosen plaintext attacks,data mining attacks,statistical analysis attacks,ICA attacks,and inference predic-tion attacks.Analysis and simulation demonstrate that the proposed secure KNN query method not only has high security but also has low overhead.关键词
电力物联网/隐私保护/安全KNN查询/边缘服务器Key words
power Internet of Things(PIoT)/privacy protection/secure KNN query/edge server分类
信息技术与安全科学引用本文复制引用
易叶青,易颖杰,刘云如,毛伊敏..面向电力物联网流数据的一种具有隐私保护的KNN查询方法[J].计算机应用研究,2024,41(4):1198-1207,10.基金项目
国家自然科学基金资助项目(61472135) （61472135）
广东省高校重点领域专项资助项目(2022ZDZX4043) （2022ZDZX4043）
广东省重点提升项目(2022ZDJS048) （2022ZDJS048）
韶关市科技计划项目(220606154533881,220607154531533) （220606154533881,220607154531533）
