Multi-Authority Fine-Grained Data Sharing and Search Scheme for Cloud Banking Systems

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
{"title":"Multi-Authority Fine-Grained Data Sharing and Search Scheme for Cloud Banking Systems","authors":"","doi":"10.4018/ijssci.300360","DOIUrl":null,"url":null,"abstract":"The migration of the banking system to the cloud seems inevitable in near future like any other industry. By leveraging cloud technology, the personal and financial data of any customer can be accessed and controlled by third-party service providers. However, in order to maintain confidentiality, this information should be kept in an encrypted format, which has an impact on the usefulness and flexibility of fundamental operations like search. Moreover, in a financial institution, a data owner may want to provide the searching capability to the users from diverse domains. Therefore, to provide such flexibility, a system of multi-authority fine-grained search is introduced where each authority manages a single but entirely disjoint domain of attributes. As a result, the proposed system is more scalable, it can handle a large number of users from diverse domains and manage their credentials effectively. While most of the schemes in the literature lack this feature, and have a performance bottleneck because of a single centralized trusted authority.","PeriodicalId":29913,"journal":{"name":"International Journal of Software Science and Computational Intelligence-IJSSCI","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Software Science and Computational Intelligence-IJSSCI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijssci.300360","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 1

Abstract

The migration of the banking system to the cloud seems inevitable in near future like any other industry. By leveraging cloud technology, the personal and financial data of any customer can be accessed and controlled by third-party service providers. However, in order to maintain confidentiality, this information should be kept in an encrypted format, which has an impact on the usefulness and flexibility of fundamental operations like search. Moreover, in a financial institution, a data owner may want to provide the searching capability to the users from diverse domains. Therefore, to provide such flexibility, a system of multi-authority fine-grained search is introduced where each authority manages a single but entirely disjoint domain of attributes. As a result, the proposed system is more scalable, it can handle a large number of users from diverse domains and manage their credentials effectively. While most of the schemes in the literature lack this feature, and have a performance bottleneck because of a single centralized trusted authority.
云银行系统的多权限细粒度数据共享与搜索方案
与其他行业一样,银行系统向云的迁移在不久的将来似乎是不可避免的。通过利用云技术,任何客户的个人和财务数据都可以被第三方服务提供商访问和控制。然而,为了保持机密性,这些信息应该以加密格式保存,这对搜索等基本操作的有用性和灵活性有影响。此外,在金融机构中,数据所有者可能希望为来自不同领域的用户提供搜索功能。因此,为了提供这种灵活性,引入了一个多权威细粒度搜索系统,其中每个权威管理单个但完全不相交的属性域。因此,该系统具有更强的可扩展性,可以处理来自不同领域的大量用户并有效地管理他们的凭据。然而,文献中的大多数方案缺乏此特性,并且由于单一的集中可信权威而存在性能瓶颈。
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
自引率
27.60%
发文量
34
×
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