服务生态系统中分布式动态数据完整性验证方案

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Fang Li , Gang Wang , Guangjun Liu , Xiao Xue , Deyu Zhou
{"title":"服务生态系统中分布式动态数据完整性验证方案","authors":"Fang Li ,&nbsp;Gang Wang ,&nbsp;Guangjun Liu ,&nbsp;Xiao Xue ,&nbsp;Deyu Zhou","doi":"10.1016/j.cose.2025.104671","DOIUrl":null,"url":null,"abstract":"<div><div>Big data distributed storage provides solid data support for various service ecosystem services. The cloud computing platform is the key infrastructure to realize the management of big data distributed storage. To cope with increasingly complex network threats and data protection requirements, distributed storage systems often require a higher level of information-theoretic security assurance. Among them, how to realize data security audit and ensure data integrity and reliability is the core key technology that must be addressed in the field of cloud computing distributed storage. Existing cloud computing outsourced dynamic data audit schemes mainly rely on the security technology of computational complexity and still have such problems as insufficient security and poor availability, so it is difficult to directly apply or effectively extend them to distributed storage systems with requirements for information-theoretic security. In order to address this challenge, this paper proposes a lightweight algebraic remote data audit methodology, which explores an orthogonal authentication technique for the linear subspace generated from cloud-stored data vectors. This approach offers a novel application for algebraic coding in the context of distributed dynamic cloud storage auditing. Different from the existing dynamic audit mechanism, the proposed scheme does not rely on any authentication data structure, which ensures the real-time update and integrity audit of outsourced dynamic storage data. Experimental analysis demonstrates that the proposed scheme is capable of resisting forgery or replay attacks and achieving the objective of distributed information-theoretic security auditing. Compared with existing similar schemes, the proposed scheme involves lower storage overhead and less computation in the process of dynamic data updating.</div></div>","PeriodicalId":51004,"journal":{"name":"Computers & Security","volume":"159 ","pages":"Article 104671"},"PeriodicalIF":5.4000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrity verification scheme for distributed dynamic data in service ecosystems\",\"authors\":\"Fang Li ,&nbsp;Gang Wang ,&nbsp;Guangjun Liu ,&nbsp;Xiao Xue ,&nbsp;Deyu Zhou\",\"doi\":\"10.1016/j.cose.2025.104671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Big data distributed storage provides solid data support for various service ecosystem services. The cloud computing platform is the key infrastructure to realize the management of big data distributed storage. To cope with increasingly complex network threats and data protection requirements, distributed storage systems often require a higher level of information-theoretic security assurance. Among them, how to realize data security audit and ensure data integrity and reliability is the core key technology that must be addressed in the field of cloud computing distributed storage. Existing cloud computing outsourced dynamic data audit schemes mainly rely on the security technology of computational complexity and still have such problems as insufficient security and poor availability, so it is difficult to directly apply or effectively extend them to distributed storage systems with requirements for information-theoretic security. In order to address this challenge, this paper proposes a lightweight algebraic remote data audit methodology, which explores an orthogonal authentication technique for the linear subspace generated from cloud-stored data vectors. This approach offers a novel application for algebraic coding in the context of distributed dynamic cloud storage auditing. Different from the existing dynamic audit mechanism, the proposed scheme does not rely on any authentication data structure, which ensures the real-time update and integrity audit of outsourced dynamic storage data. Experimental analysis demonstrates that the proposed scheme is capable of resisting forgery or replay attacks and achieving the objective of distributed information-theoretic security auditing. Compared with existing similar schemes, the proposed scheme involves lower storage overhead and less computation in the process of dynamic data updating.</div></div>\",\"PeriodicalId\":51004,\"journal\":{\"name\":\"Computers & Security\",\"volume\":\"159 \",\"pages\":\"Article 104671\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Security\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167404825003608\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Security","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167404825003608","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

大数据分布式存储为各类服务生态系统服务提供坚实的数据支撑。云计算平台是实现大数据分布式存储管理的关键基础设施。为了应对日益复杂的网络威胁和数据保护需求,分布式存储系统往往需要更高层次的信息论安全保障。其中,如何实现数据安全审计,保证数据的完整性和可靠性,是云计算分布式存储领域必须解决的核心关键技术。现有的云计算外包动态数据审计方案主要依赖于计算复杂度较高的安全技术,仍然存在安全性不足、可用性差等问题,难以直接应用或有效扩展到对信息安全有要求的分布式存储系统中。为了解决这一挑战,本文提出了一种轻量级的代数远程数据审计方法,该方法探索了由云存储数据向量生成的线性子空间的正交认证技术。这种方法为分布式动态云存储审计环境中的代数编码提供了一种新的应用。与现有的动态审计机制不同,该方案不依赖于任何认证数据结构,保证了外包动态存储数据的实时更新和完整性审计。实验分析表明,该方案能够抵抗伪造和重放攻击,达到了分布式信息论安全审计的目的。与现有的同类方案相比,该方案在动态数据更新过程中的存储开销更小,计算量更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrity verification scheme for distributed dynamic data in service ecosystems
Big data distributed storage provides solid data support for various service ecosystem services. The cloud computing platform is the key infrastructure to realize the management of big data distributed storage. To cope with increasingly complex network threats and data protection requirements, distributed storage systems often require a higher level of information-theoretic security assurance. Among them, how to realize data security audit and ensure data integrity and reliability is the core key technology that must be addressed in the field of cloud computing distributed storage. Existing cloud computing outsourced dynamic data audit schemes mainly rely on the security technology of computational complexity and still have such problems as insufficient security and poor availability, so it is difficult to directly apply or effectively extend them to distributed storage systems with requirements for information-theoretic security. In order to address this challenge, this paper proposes a lightweight algebraic remote data audit methodology, which explores an orthogonal authentication technique for the linear subspace generated from cloud-stored data vectors. This approach offers a novel application for algebraic coding in the context of distributed dynamic cloud storage auditing. Different from the existing dynamic audit mechanism, the proposed scheme does not rely on any authentication data structure, which ensures the real-time update and integrity audit of outsourced dynamic storage data. Experimental analysis demonstrates that the proposed scheme is capable of resisting forgery or replay attacks and achieving the objective of distributed information-theoretic security auditing. Compared with existing similar schemes, the proposed scheme involves lower storage overhead and less computation in the process of dynamic data updating.
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
Computers & Security
Computers & Security 工程技术-计算机:信息系统
CiteScore
12.40
自引率
7.10%
发文量
365
审稿时长
10.7 months
期刊介绍: Computers & Security is the most respected technical journal in the IT security field. With its high-profile editorial board and informative regular features and columns, the journal is essential reading for IT security professionals around the world. Computers & Security provides you with a unique blend of leading edge research and sound practical management advice. It is aimed at the professional involved with computer security, audit, control and data integrity in all sectors - industry, commerce and academia. Recognized worldwide as THE primary source of reference for applied research and technical expertise it is your first step to fully secure 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
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:604180095
Book学术官方微信