移动云存储的可验证和隐私增强型授权关键字搜索

IF 8.7 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Internet of Things Journal Pub Date : 2024-11-18 DOI:10.1109/JIOT.2024.3495042
Zhentao Long;Kai Zhang;Jinguo Li;Pengfei Wu;Jianting Ning
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引用次数: 0

摘要

移动云存储使物联网设备能够按需使用资源并与不同的移动设备共享数据,其中云上的这些外包数据由于数据机密性问题而加密。尽管动态可搜索对称加密(DSSE)允许数据所有者直接搜索和更新其加密的数据,但它很少考虑对不同的移动设备实现授权搜索。现有的移动云存储授权关键字搜索系统存在以下局限性:1)只能实现iii类后向隐私;2)不支持对搜索结果的验证;3)导致数据更新和搜索的高时间开销。因此,我们提出$\textsf {VE}{-}\textsf {FLY}{++}$,这是一个高效、可验证、授权的移动云存储DSSE系统,具有正向和增强的向后隐私性。从技术上讲,$\textsf {VE}{-}\textsf {FLY}{++}$提供了一个可验证的倒位图索引(VIBI)来实现前向隐私和增强的Type-I(又称$\textrm {Type-I}^{-}$)后向隐私,并支持对搜索结果的验证。此外,我们将对称加密与同态加法与引入的VIBI相结合,实现了快速的授权搜索功能。为了进一步有效地处理数以亿计的文件,我们采用分块技术来呈现一个高度可扩展的$\textsf {VE}{-}\textsf {FLY}{++}$。最后,我们使用Raspberry Pi、Rock Pi和华为Cloud在真实数据集上进行了广泛的实验,以阐明$\textsf {VE}{-}\textsf {FLY}{++}$的实际效率。
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Verifiable and Privacy-Enhanced Authorized Keyword Search for Mobile Cloud Storage
Mobile cloud storage enables IoT devices to use on-demand resources and share data with different mobile devices, where these outsourced data on the cloud are encrypted due to data confidentiality concern. Although dynamic searchable symmetric encryption (DSSE) allows data owners to directly search and update its encrypted data, it rarely considers implementing authorized search toward different mobile devices. Existing authorized keyword search systems for mobile cloud storage suffer from the following limitations: 1) only achieves Type-III backward privacy; 2) no support for verification of search result; and 3) incurs high time overhead for data update and search. Therefore, we propose $\textsf {VE}{-}\textsf {FLY}{++}$ , an efficient, verifiable, and authorized DSSE system with forward and enhanced backward privacy for mobile cloud storage. Technically, $\textsf {VE}{-}\textsf {FLY}{++}$ presents a verifiable inverted bitmap index (VIBI) to achieve forward privacy and enhanced Type-I (a.k.a., $\textrm {Type-I}^{-}$ ) backward privacy, with supporting verification of search results. In addition, we combine symmetric encryption with homomorphic addition with the introduced VIBI for a fast authorized search function. To further enable efficiently handling hundreds of millions of files, we adopt chunking technology to present a highly scalable $\textsf {VE}{-}\textsf {FLY}{++}$ . Finally, we use Raspberry Pi, Rock Pi, and Huawei Cloud on real datasets to conduct extensive experiments to clarify the practical efficiency of $\textsf {VE}{-}\textsf {FLY}{++}$ .
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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