{"title":"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","authors":"Leyou Zhang , Runze Tian , Qing Wu , Fatemeh Rezaeibagha","doi":"10.1016/j.jestch.2025.102055","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"66 ","pages":"Article 102055"},"PeriodicalIF":5.1000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"BA-AMST: A blockchain-assisted anonymous and multi-keyword searchable-traceable data sharing system in Industrial Internet of Things\",\"authors\":\"Leyou Zhang , Runze Tian , Qing Wu , Fatemeh Rezaeibagha\",\"doi\":\"10.1016/j.jestch.2025.102055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":48609,\"journal\":{\"name\":\"Engineering Science and Technology-An International Journal-Jestech\",\"volume\":\"66 \",\"pages\":\"Article 102055\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2025-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Science and Technology-An International Journal-Jestech\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2215098625001107\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Science and Technology-An International Journal-Jestech","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2215098625001107","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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)