BA-AMST:一种区块链辅助的工业物联网匿名多关键字可搜索可追溯数据共享系统

IF 5.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Leyou Zhang , Runze Tian , Qing Wu , Fatemeh Rezaeibagha
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引用次数: 0

摘要

随着工业物联网(IIoT)技术的广泛应用和云存储的快速发展,企业和用户从工业数据共享的便利性中受益匪浅。在这一过程中,至关重要的第一步是能够执行快速高效的关键字搜索,帮助用户在庞大的数据集中找到所需的数据。然而,隐私泄露的风险、恶意行为者的存在以及不可靠的云服务器对个人和主要数据保管人都构成了重大威胁。因此,在工业数据共享系统中,确保公平、精确的数据搜索,同时保护敏感的工业数据至关重要。为了应对这些挑战,本文提出了一种动态、匿名和可追踪的多关键字搜索方案,该方案将基于属性的加密(ABE)与区块链技术相结合。本文引入了一种追踪算法来防止私钥泄漏,并采用 Bloom 过滤器来隐藏机密访问策略,从而保护用户隐私。区块链用于生成用户身份并记录用户与系统之间的交互,从而确保搜索结果的公平性、增强系统安全性并维护数据完整性。为了提高实用性,我们引入了一种细粒度匹配算法,能够根据用户提交的信息生成四种不同类型的反馈。性能评估和安全分析表明了该解决方案的多功能性和高效率,凸显了其在工业应用中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BA-AMST: A blockchain-assisted anonymous and multi-keyword searchable-traceable data sharing system in Industrial Internet of Things
With the widespread adoption of Industrial Internet of Things (IIoT) technologies and the rapid advancement of cloud storage, enterprises and users have benefited greatly from the convenience of industrial data sharing. A crucial initial step in this process is the ability to perform fast and efficient keyword searches to help users locate the required data within vast datasets. However, the risk of privacy breaches, the presence of malicious actors, and untrusted cloud servers pose significant threats to both individuals and primary data custodians. Ensuring equitable and precise data searches, while safeguarding sensitive industrial data, is therefore of paramount importance in industrial data-sharing systems. To address these challenges, this paper proposes a dynamic, anonymous, and traceable multi-keyword search scheme that integrates attribute-based encryption (ABE) with blockchain technology. A tracing algorithm is introduced to prevent private key leakage, and a Bloom filter is employed to conceal confidential access policies, preserving user privacy. Blockchain is utilized to generate user identities and record interactions between users and the system, ensuring fair search results, enhancing system security, and maintaining data integrity. To improve practicality, we introduce a fine-grained matching algorithm capable of generating four distinct types of feedback based on user-submitted information. Performance evaluations and security analyses demonstrate the solution’s multifunctionality and high efficiency, highlighting its potential for industrial applications.
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来源期刊
Engineering Science and Technology-An International Journal-Jestech
Engineering Science and Technology-An International Journal-Jestech Materials Science-Electronic, Optical and Magnetic Materials
CiteScore
11.20
自引率
3.50%
发文量
153
审稿时长
22 days
期刊介绍: Engineering Science and Technology, an International Journal (JESTECH) (formerly Technology), a peer-reviewed quarterly engineering journal, publishes both theoretical and experimental high quality papers of permanent interest, not previously published in journals, in the field of engineering and applied science which aims to promote the theory and practice of technology and engineering. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-the-art reviews and communications in the broadly defined field of engineering science and technology. The scope of JESTECH includes a wide spectrum of subjects including: -Electrical/Electronics and Computer Engineering (Biomedical Engineering and Instrumentation; Coding, Cryptography, and Information Protection; Communications, Networks, Mobile Computing and Distributed Systems; Compilers and Operating Systems; Computer Architecture, Parallel Processing, and Dependability; Computer Vision and Robotics; Control Theory; Electromagnetic Waves, Microwave Techniques and Antennas; Embedded Systems; Integrated Circuits, VLSI Design, Testing, and CAD; Microelectromechanical Systems; Microelectronics, and Electronic Devices and Circuits; Power, Energy and Energy Conversion Systems; Signal, Image, and Speech Processing) -Mechanical and Civil Engineering (Automotive Technologies; Biomechanics; Construction Materials; Design and Manufacturing; Dynamics and Control; Energy Generation, Utilization, Conversion, and Storage; Fluid Mechanics and Hydraulics; Heat and Mass Transfer; Micro-Nano Sciences; Renewable and Sustainable Energy Technologies; Robotics and Mechatronics; Solid Mechanics and Structure; Thermal Sciences) -Metallurgical and Materials Engineering (Advanced Materials Science; Biomaterials; Ceramic and Inorgnanic Materials; Electronic-Magnetic Materials; Energy and Environment; Materials Characterizastion; Metallurgy; Polymers and Nanocomposites)
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