Efficient and Provably Secure Data Selective Sharing and Acquisition in Cloud-Based Systems

计算机科学 正确性 云计算 加密 密码学 数据共享 稳健性 服务器 理论计算机科学 计算机安全 万维网 算法 程序设计语言 操作系统 病理 医学 替代医学
作者
Kan Yang,Jiangang Shu,Ruitao Xie
出处
期刊:IEEE Transactions on Information Forensics and Security [Institute of Electrical and Electronics Engineers]
卷期号:18: 71-84 被引量:7
标识
DOI:10.1109/tifs.2022.3216956
摘要

Towards the large amount of data generated everyday, data selective sharing and acquisition is one of the most significant data services in cloud-based systems, which enables data owners to selectively share their data to some particular users, and users to selectively acquire some interested data. However, it is challenging to protect data security and user privacy during data selective sharing and selective acquisition, because cloud servers are curious about the data or user's interests, and even send data to some unauthorized users or some uninterested users. In this paper, we propose an efficient and provably secure Data selective Sharing and Acquisition ( ${\sf DSA}$ ) scheme for cloud-based systems. Specifically, we first formulate a generic data selective sharing and acquisition problem in cloud-based systems by identifying several design goals in terms of correctness, soundness, security and efficiency. Then, we propose the ${\sf DSA}$ scheme to enable data owners to control the access of their data in a fine-grained manner, and enable users to refine the data acquisition without revealing their interests. Technically, a brand new cryptographic framework is developed to integrate attribute-based encryption with searchable encryption. Finally, we prove that the proposed ${\sf DSA}$ scheme is correct, sound, secure in the random oracle model, and efficient in practice.
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