Fully-incremental public key encryption with adjustable timed-release keyword search

IF 6.8 1区 计算机科学 0 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Sciences Pub Date : 2025-06-01 Epub Date: 2025-01-27 DOI:10.1016/j.ins.2025.121887
Tiancheng Zhu , Jiabei Wang , Yuting Xiao , Yiwen Gao , Yongbin Zhou , Jian Weng
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Abstract

Public Key Encryption with Keyword Search (PEKS) is a promising technique that enables secure search over encrypted data. However, recent legislation mandates specific activation times for information, necessitating time-controlled retrieval. This creates a pressing need to integrate timed-release control into PEKS, allowing data uploaders to “send indices to the future”, ensuring that secure, searchable indices for specific keywords can only be searched after the designated release-time. Existing approaches or straightforward candidates have several limitations: they either lack cryptographic search control and precise policy enforcement, fail to support flexible and efficient policy adjustment, or exhibit inefficiencies in index/key size and search complexity. In this paper, we formalize a novel variant called Fully-Incremental Public Key Encryption with Timed-Release Keyword Search (Fi-PETRKS), which well captures the functionalities, efficiency, and security requirements. Notably, the processes of functionalities are all incremental, ensuring that the size of token used for each adjustment remains O(1). We propose a concrete Fi-PETRKS construction which is secure against full keyword guessing attacks. Furthermore, we introduce an enhanced version, Fi-PETRKS+, which offers sub-linear search efficiency. Both theoretical analysis and experimental results demonstrate the practicality of our scheme.
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完全增量公钥加密与可调整的定时释放关键字搜索
带关键字搜索的公钥加密(PEKS)是一种很有前途的技术,可以对加密数据进行安全搜索。然而,最近的立法规定了特定的信息激活时间,因此需要有时间控制的检索。这就迫切需要将定时发布控制集成到PEKS中,允许数据上传者“将索引发送到未来”,确保特定关键字的安全、可搜索索引只能在指定的发布时间之后搜索。现有的方法或直接的候选方法有几个局限性:它们要么缺乏加密搜索控制和精确的策略实施,不能支持灵活和有效的策略调整,要么在索引/密钥大小和搜索复杂性方面表现得效率低下。在本文中,我们形式化了一种新的变体,称为带定时释放关键字搜索的全增量公钥加密(Fi-PETRKS),它很好地捕获了功能,效率和安全需求。值得注意的是,功能的过程都是增量的,确保每次调整使用的令牌大小保持为O(1)。我们提出了一个具体的Fi-PETRKS结构,它是安全的,可以抵御全关键字猜测攻击。此外,我们还推出了一个增强版本,Fi-PETRKS+,它提供了次线性搜索效率。理论分析和实验结果都证明了该方案的实用性。
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来源期刊
Information Sciences
Information Sciences 工程技术-计算机:信息系统
CiteScore
14.00
自引率
17.30%
发文量
1322
审稿时长
10.4 months
期刊介绍: Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions. Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.
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