Practical searchable encryption scheme against response identity attacks

IF 8.1 1区 计算机科学 0 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Sciences Pub Date : 2025-02-20 DOI:10.1016/j.ins.2025.121975
Shengming Li , Xuan Jing , Yunling Wang , Xin Xu , Zichen Zhang , Jianfeng Wang
{"title":"Practical searchable encryption scheme against response identity attacks","authors":"Shengming Li ,&nbsp;Xuan Jing ,&nbsp;Yunling Wang ,&nbsp;Xin Xu ,&nbsp;Zichen Zhang ,&nbsp;Jianfeng Wang","doi":"10.1016/j.ins.2025.121975","DOIUrl":null,"url":null,"abstract":"<div><div>Searchable symmetric encryption (SSE) enables efficient keyword-based search over encrypted data while revealing nothing about data and query beyond some pre-defined leakage, such as access pattern and search pattern. A new class of leakage-abuse attacks, called response identity attacks, can exploit access patterns to recover the queried keywords. Although some progress has been made to resist on response identity attacks, it is challenging to design a practical SSE scheme that resists on response identity attacks while protecting the security of data and queries (i.e., end-to-end SSE). To this end, we first present a novel dynamic SSE scheme supporting toward privacy based on the modified Path-ORAM, where the server cannot identify update patterns. We then design a dynamic end-to-end SSE scheme defending response identity attacks under two non-colluding servers model, which splits each encrypted document into the main document and extra blocks, and stores them separately using different obfuscation strategies. The proposed scheme can prevent adversaries from identifying which document in prior knowledge contains the searched keyword while hiding the data content and queries. Experimental results show that our proposed scheme is superior to the state-of-the-art scheme.</div></div>","PeriodicalId":51063,"journal":{"name":"Information Sciences","volume":"706 ","pages":"Article 121975"},"PeriodicalIF":8.1000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Sciences","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020025525001070","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Searchable symmetric encryption (SSE) enables efficient keyword-based search over encrypted data while revealing nothing about data and query beyond some pre-defined leakage, such as access pattern and search pattern. A new class of leakage-abuse attacks, called response identity attacks, can exploit access patterns to recover the queried keywords. Although some progress has been made to resist on response identity attacks, it is challenging to design a practical SSE scheme that resists on response identity attacks while protecting the security of data and queries (i.e., end-to-end SSE). To this end, we first present a novel dynamic SSE scheme supporting toward privacy based on the modified Path-ORAM, where the server cannot identify update patterns. We then design a dynamic end-to-end SSE scheme defending response identity attacks under two non-colluding servers model, which splits each encrypted document into the main document and extra blocks, and stores them separately using different obfuscation strategies. The proposed scheme can prevent adversaries from identifying which document in prior knowledge contains the searched keyword while hiding the data content and queries. Experimental results show that our proposed scheme is superior to the state-of-the-art scheme.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Information Sciences
Information Sciences 工程技术-计算机:信息系统
CiteScore
14.00
自引率
17.30%
发文量
1322
审稿时长
10.4 months
期刊介绍: Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions. Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.
期刊最新文献
Editorial Board GRANA: Graph convolutional network based network representation learning method for attributed network alignment Ensuring privacy and correlation awareness in multi-dimensional service quality prediction and recommendation for IoT EVA: Key values eclosion with space anchor used in hand pose estimation and shape reconstruction Polynomial-time verification of pattern diagnosability for timed discrete event systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1