DSDM-TCSE:可信云服务环境的确定性存储和删除机制

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS Future Generation Computer Systems-The International Journal of Escience Pub Date : 2024-11-19 DOI:10.1016/j.future.2024.107611
Wenlong Yi, Chuang Wang, Jie Chen, Sergey Kuzmin, Igor Gerasimov, Xiangping Cheng
{"title":"DSDM-TCSE:可信云服务环境的确定性存储和删除机制","authors":"Wenlong Yi, Chuang Wang, Jie Chen, Sergey Kuzmin, Igor Gerasimov, Xiangping Cheng","doi":"10.1016/j.future.2024.107611","DOIUrl":null,"url":null,"abstract":"The separation of data ownership and management rights in cloud storage architectures results in losing control over outsourced data, making it challenging to achieve deterministic deletion and verify-deletion results. This predicament precipitates security vulnerabilities that impede the advancement of cloud services. This study proposes a deterministic storage and deletion mechanism for trusted cloud service environments (DSDM-TCSEs). This mechanism establishes a three-layer cloud data interaction framework, adopting blockchain as the communication intermediary layer, and employs techniques such as overwrite key negotiation strategy and CP-ABE encryption to achieve fine-grained storage, deletion control, and deletion result verification of cloud data, effectively isolating the cloud service provider and protecting data privacy. It also proposes an efficient evidence strategy based on a cuckoo filter and data noise vectors for rapid construction and verification. Experimental results show that this method improves the speed of evidence construction and verification by 83% compared to related schemes and saves 5% storage overhead when the number of attributes is large, demonstrating good time and space performance and providing a solid guarantee for achieving deterministic storage and deletion in trusted cloud services.","PeriodicalId":55132,"journal":{"name":"Future Generation Computer Systems-The International Journal of Escience","volume":"67 1","pages":""},"PeriodicalIF":6.2000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DSDM-TCSE: Deterministic storage and deletion mechanism for trusted cloud service environments\",\"authors\":\"Wenlong Yi, Chuang Wang, Jie Chen, Sergey Kuzmin, Igor Gerasimov, Xiangping Cheng\",\"doi\":\"10.1016/j.future.2024.107611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The separation of data ownership and management rights in cloud storage architectures results in losing control over outsourced data, making it challenging to achieve deterministic deletion and verify-deletion results. This predicament precipitates security vulnerabilities that impede the advancement of cloud services. This study proposes a deterministic storage and deletion mechanism for trusted cloud service environments (DSDM-TCSEs). This mechanism establishes a three-layer cloud data interaction framework, adopting blockchain as the communication intermediary layer, and employs techniques such as overwrite key negotiation strategy and CP-ABE encryption to achieve fine-grained storage, deletion control, and deletion result verification of cloud data, effectively isolating the cloud service provider and protecting data privacy. It also proposes an efficient evidence strategy based on a cuckoo filter and data noise vectors for rapid construction and verification. Experimental results show that this method improves the speed of evidence construction and verification by 83% compared to related schemes and saves 5% storage overhead when the number of attributes is large, demonstrating good time and space performance and providing a solid guarantee for achieving deterministic storage and deletion in trusted cloud services.\",\"PeriodicalId\":55132,\"journal\":{\"name\":\"Future Generation Computer Systems-The International Journal of Escience\",\"volume\":\"67 1\",\"pages\":\"\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Future Generation Computer Systems-The International Journal of Escience\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1016/j.future.2024.107611\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Generation Computer Systems-The International Journal of Escience","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1016/j.future.2024.107611","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

摘要

在云存储架构中,数据所有权和管理权的分离导致对外包数据失去控制,使实现确定性删除和验证删除结果具有挑战性。这种困境造成了安全漏洞,阻碍了云服务的发展。本研究提出了可信云服务环境(DSDM-TCSE)的确定性存储和删除机制。该机制建立了三层云数据交互框架,采用区块链作为通信中介层,采用覆盖密钥协商策略和CP-ABE加密等技术,实现了云数据的细粒度存储、删除控制和删除结果验证,有效隔离了云服务提供商,保护了数据隐私。同时,它还提出了一种基于布谷鸟滤波器和数据噪声矢量的高效证据策略,以实现快速构建和验证。实验结果表明,与相关方案相比,该方法的证据构建和验证速度提高了83%,当属性数量较多时,可节省5%的存储开销,表现出良好的时间和空间性能,为在可信云服务中实现确定性存储和删除提供了坚实的保障。
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
DSDM-TCSE: Deterministic storage and deletion mechanism for trusted cloud service environments
The separation of data ownership and management rights in cloud storage architectures results in losing control over outsourced data, making it challenging to achieve deterministic deletion and verify-deletion results. This predicament precipitates security vulnerabilities that impede the advancement of cloud services. This study proposes a deterministic storage and deletion mechanism for trusted cloud service environments (DSDM-TCSEs). This mechanism establishes a three-layer cloud data interaction framework, adopting blockchain as the communication intermediary layer, and employs techniques such as overwrite key negotiation strategy and CP-ABE encryption to achieve fine-grained storage, deletion control, and deletion result verification of cloud data, effectively isolating the cloud service provider and protecting data privacy. It also proposes an efficient evidence strategy based on a cuckoo filter and data noise vectors for rapid construction and verification. Experimental results show that this method improves the speed of evidence construction and verification by 83% compared to related schemes and saves 5% storage overhead when the number of attributes is large, demonstrating good time and space performance and providing a solid guarantee for achieving deterministic storage and deletion in trusted cloud services.
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
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
期刊最新文献
DSDM-TCSE: Deterministic storage and deletion mechanism for trusted cloud service environments Securing IoMT healthcare systems with federated learning and BigchainDB Identifying runtime libraries in statically linked linux binaries A personalized federated cloud-edge collaboration framework via cross-client knowledge distillation BCBA: An IIoT encrypted traffic classifier based on a serial network model
×
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