Encrypted data inner product KNN secure query based on BALL-PB tree

IF 4.1 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
{"title":"Encrypted data inner product KNN secure query based on BALL-PB tree","authors":"","doi":"10.1016/j.csi.2024.103901","DOIUrl":null,"url":null,"abstract":"<div><p>With the increased data volume, data query service outsourcing to cloud servers is widely used. However, enabling authorized users to access confidential data is critical when conducting queries on untrusted cloud servers. To this end, an inner-product k-nearest neighbor (KNN) query scheme with access control (IPKNN_AC) is proposed under privacy protection. Firstly, this scheme utilizes the designed Ball-PB tree structure to partition the dataset into multiple subsets. Considering the efficiency and confidentiality of inner-product queries on the tree, the scheme represents the internal nodes and leaf nodes accordingly and defines a secure inner-product calculation protocol, EncInp. Secondly, relying on EncInp, a query algorithm is employed to perform similarity inner-product queries on the encrypted tree representation. Finally, the scheme is shown to be secure through security proofs of homomorphic encryption. Experimental evaluation results on medical datasets demonstrate the effectiveness of the scheme.</p></div>","PeriodicalId":50635,"journal":{"name":"Computer Standards & Interfaces","volume":null,"pages":null},"PeriodicalIF":4.1000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0920548924000709/pdfft?md5=c8c4923f65a97b115b4f3323d577d702&pid=1-s2.0-S0920548924000709-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Standards & Interfaces","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0920548924000709","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

Abstract

With the increased data volume, data query service outsourcing to cloud servers is widely used. However, enabling authorized users to access confidential data is critical when conducting queries on untrusted cloud servers. To this end, an inner-product k-nearest neighbor (KNN) query scheme with access control (IPKNN_AC) is proposed under privacy protection. Firstly, this scheme utilizes the designed Ball-PB tree structure to partition the dataset into multiple subsets. Considering the efficiency and confidentiality of inner-product queries on the tree, the scheme represents the internal nodes and leaf nodes accordingly and defines a secure inner-product calculation protocol, EncInp. Secondly, relying on EncInp, a query algorithm is employed to perform similarity inner-product queries on the encrypted tree representation. Finally, the scheme is shown to be secure through security proofs of homomorphic encryption. Experimental evaluation results on medical datasets demonstrate the effectiveness of the scheme.

基于 BALL-PB 树的加密数据内积 KNN 安全查询
随着数据量的增加,外包给云服务器的数据查询服务得到了广泛应用。然而,在不受信任的云服务器上进行查询时,授权用户访问机密数据至关重要。为此,我们提出了一种具有访问控制功能的内积 k 近邻(KNN)查询方案(IPKNN_AC)。首先,该方案利用设计的 Ball-PB 树结构将数据集划分为多个子集。考虑到树上内积查询的效率和保密性,该方案相应地表示了内部节点和叶子节点,并定义了一个安全的内积计算协议 EncInp。其次,依靠 EncInp,采用一种查询算法对加密树表示执行相似性内积查询。最后,通过同态加密的安全证明,证明了该方案的安全性。医疗数据集的实验评估结果证明了该方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Computer Standards & Interfaces
Computer Standards & Interfaces 工程技术-计算机:软件工程
CiteScore
11.90
自引率
16.00%
发文量
67
审稿时长
6 months
期刊介绍: The quality of software, well-defined interfaces (hardware and software), the process of digitalisation, and accepted standards in these fields are essential for building and exploiting complex computing, communication, multimedia and measuring systems. Standards can simplify the design and construction of individual hardware and software components and help to ensure satisfactory interworking. Computer Standards & Interfaces is an international journal dealing specifically with these topics. The journal • Provides information about activities and progress on the definition of computer standards, software quality, interfaces and methods, at national, European and international levels • Publishes critical comments on standards and standards activities • Disseminates user''s experiences and case studies in the application and exploitation of established or emerging standards, interfaces and methods • Offers a forum for discussion on actual projects, standards, interfaces and methods by recognised experts • Stimulates relevant research by providing a specialised refereed medium.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信