基于区块链的安全数据共享,具有重叠聚类和可搜索加密

IF 3.1 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computer Standards & Interfaces Pub Date : 2025-04-01 Epub Date: 2025-02-11 DOI:10.1016/j.csi.2025.103979
Shujiang Xu , Shishi Dong , Lianhai Wang , Miodrag J. Mihaljevié , Shuhui Zhang , Wei Shao , Qizheng Wang
{"title":"基于区块链的安全数据共享,具有重叠聚类和可搜索加密","authors":"Shujiang Xu ,&nbsp;Shishi Dong ,&nbsp;Lianhai Wang ,&nbsp;Miodrag J. Mihaljevié ,&nbsp;Shuhui Zhang ,&nbsp;Wei Shao ,&nbsp;Qizheng Wang","doi":"10.1016/j.csi.2025.103979","DOIUrl":null,"url":null,"abstract":"<div><div>In the digital age, the importance of data sharing has significantly increased as it accelerates the release of value from data elements. Nevertheless, data confronts substantial security threats, including potential leakage during outsourcing and sharing procedures. To ensure the security of shared data, plaintext data is often replaced by encrypted data for sharing, and searchable encryption algorithms are used to improve the efficiency of sharing. However, due to the inherent limitations of searchable encryption schemes, existing secure data-sharing approaches frequently encounter inefficient search capabilities and privacy violations. This paper proposes a secure data-sharing scheme for encrypted data that integrates blockchain with an overlapping clustering technique to tackle these challenges. The proposed scheme combines blockchain with an attribute-based searchable encryption method to guarantee data transparency, trustworthiness, and confidentiality. Furthermore, the scheme significantly enhances search efficiency and accuracy by incorporating overlapping clustering and keyword relevance-based ranking strategies. Experimental results show that this scheme effectively enhances search efficiency and provides robust privacy protection.</div></div>","PeriodicalId":50635,"journal":{"name":"Computer Standards & Interfaces","volume":"93 ","pages":"Article 103979"},"PeriodicalIF":3.1000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blockchain-based secure data sharing with overlapping clustering and searchable encryption\",\"authors\":\"Shujiang Xu ,&nbsp;Shishi Dong ,&nbsp;Lianhai Wang ,&nbsp;Miodrag J. Mihaljevié ,&nbsp;Shuhui Zhang ,&nbsp;Wei Shao ,&nbsp;Qizheng Wang\",\"doi\":\"10.1016/j.csi.2025.103979\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In the digital age, the importance of data sharing has significantly increased as it accelerates the release of value from data elements. Nevertheless, data confronts substantial security threats, including potential leakage during outsourcing and sharing procedures. To ensure the security of shared data, plaintext data is often replaced by encrypted data for sharing, and searchable encryption algorithms are used to improve the efficiency of sharing. However, due to the inherent limitations of searchable encryption schemes, existing secure data-sharing approaches frequently encounter inefficient search capabilities and privacy violations. This paper proposes a secure data-sharing scheme for encrypted data that integrates blockchain with an overlapping clustering technique to tackle these challenges. The proposed scheme combines blockchain with an attribute-based searchable encryption method to guarantee data transparency, trustworthiness, and confidentiality. Furthermore, the scheme significantly enhances search efficiency and accuracy by incorporating overlapping clustering and keyword relevance-based ranking strategies. Experimental results show that this scheme effectively enhances search efficiency and provides robust privacy protection.</div></div>\",\"PeriodicalId\":50635,\"journal\":{\"name\":\"Computer Standards & Interfaces\",\"volume\":\"93 \",\"pages\":\"Article 103979\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Standards & Interfaces\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S092054892500008X\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/11 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Standards & Interfaces","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S092054892500008X","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/11 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

摘要

在数字时代,数据共享的重要性显著增加,因为它加速了数据元素的价值释放。然而,数据面临着巨大的安全威胁,包括在外包和共享过程中潜在的泄漏。为了保证共享数据的安全性,通常将明文数据替换为加密数据进行共享,并采用可搜索的加密算法来提高共享效率。然而,由于可搜索加密方案的固有局限性,现有的安全数据共享方法经常遇到搜索能力低下和侵犯隐私的问题。本文提出了一种安全的加密数据共享方案,该方案将区块链与重叠聚类技术相结合,以解决这些挑战。该方案将区块链与基于属性的可搜索加密方法相结合,保证了数据的透明性、可信度和保密性。此外,该方案结合了重叠聚类和基于关键字相关性的排序策略,显著提高了搜索效率和准确性。实验结果表明,该方案有效地提高了搜索效率,并提供了鲁棒性的隐私保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Blockchain-based secure data sharing with overlapping clustering and searchable encryption
In the digital age, the importance of data sharing has significantly increased as it accelerates the release of value from data elements. Nevertheless, data confronts substantial security threats, including potential leakage during outsourcing and sharing procedures. To ensure the security of shared data, plaintext data is often replaced by encrypted data for sharing, and searchable encryption algorithms are used to improve the efficiency of sharing. However, due to the inherent limitations of searchable encryption schemes, existing secure data-sharing approaches frequently encounter inefficient search capabilities and privacy violations. This paper proposes a secure data-sharing scheme for encrypted data that integrates blockchain with an overlapping clustering technique to tackle these challenges. The proposed scheme combines blockchain with an attribute-based searchable encryption method to guarantee data transparency, trustworthiness, and confidentiality. Furthermore, the scheme significantly enhances search efficiency and accuracy by incorporating overlapping clustering and keyword relevance-based ranking strategies. Experimental results show that this scheme effectively enhances search efficiency and provides robust privacy protection.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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.
期刊最新文献
PrivTrajBERT: A semantics-adaptive local differential privacy framework for robust trajectory representation learning Mental illness text classification based on Late Fusion combining BERT with Apriori-informed Graph Attention Network Adversarial attacks and defenses in EEG based Brain Computer Interfaces: A comprehensive survey and future directions CLU-ID: Contrastive learning based unsupervised intrusion detection for low-power IoT devices CGNNStealer: Cooperative data-free model extraction attack on graph neural networks
×
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学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
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