AI-Envisioned Blockchain-Enabled Signature-Based Key Management Scheme for Industrial Cyber-Physical Systems

被引:25
|
作者
Das, Ashok Kumar [1 ]
Bera, Basudeb [1 ]
Saha, Sourav [1 ]
Kumar, Neeraj [2 ,3 ,4 ]
You, Ilsun [5 ]
Chao, Han-Chieh [6 ]
机构
[1] Int Inst Informat Technol, Ctr Secur Theory & Algorithm Res, Hyderabad 500032, India
[2] Thapar Univ, Dept Comp Sci & Engn, Patiala 147004, Punjab, India
[3] Asia Univ, Dept Comp Sci & Informat Engn, Taichung 413, Taiwan
[4] Univ Petr & Energy Studies, Sch Comp Sci, Dehra Dun 248007, Uttarakhand, India
[5] Soonchunhyang Univ, Dept Informat Secur Engn, Asan 31538, South Korea
[6] Natl Dong Hwa Univ, Dept Elect Engn, Hualien 97401, Taiwan
基金
新加坡国家研究基金会;
关键词
Security; Servers; Smart devices; Blockchains; Logic gates; Cloud computing; Protocols; Authentication; blockchain; industrial cyber-physical systems (ICPSs); key management; security; ACCESS-CONTROL SCHEME; AUTHENTICATION SCHEMES; MUTUAL AUTHENTICATION; SECURITY; INTERNET;
D O I
10.1109/JIOT.2021.3109314
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article proposes a new blockchain-envisioned key management protocol for artificial intelligence (AI)-enabled industrial cyber-physical systems (ICPSs). The designed key management protocol enables key establishment among the Internet of Things (IoT)-enabled smart devices and their respective gateway nodes. The blocks partially constructed with secure data from smart devices by fog servers are provided to cloud servers that are responsible for completing blocks, and then mining those blocks for verification and addition in the blockchain. The most important application of the private blockchain construction is to apply AI algorithms for accurate predictions in Big data analytics. A detailed security analysis along with formal security verification show that the proposed scheme resists various potential attacks in an ICPS environment. Moreover, practical testbed experiments have been conducted using the multiprecision integer and rational arithmetic cryptographic library (MIRACL). Furthermore, a detailed comparative analysis shows superiority of the proposed scheme over recent relevant schemes. In addition, the practical implementation using the blockchain for the proposed scheme demonstrates the total computational costs when the number of transactions per block and also the number of blocks mined in the blockchain are varied.
引用
收藏
页码:6374 / 6388
页数:15
相关论文
共 50 条
  • [21] A Lattice-Based Multisignature Scheme for Blockchain-Enabled Systems
    Liang, Xiao
    Wang, Xiaohui
    Zhang, Qianyi
    Yuan, Shuai
    Guan, Zhitao
    EMERGING NETWORKING ARCHITECTURE AND TECHNOLOGIES, ICENAT 2022, 2023, 1696 : 336 - 346
  • [22] Explainable AI in Manufacturing and Industrial Cyber-Physical Systems: A Survey
    Moosavi, Sajad
    Farajzadeh-Zanjani, Maryam
    Razavi-Far, Roozbeh
    Palade, Vasile
    Saif, Mehrdad
    ELECTRONICS, 2024, 13 (17)
  • [23] Authenticated Key Agreement Scheme With User Anonymity and Untraceability for 5G-Enabled Softwarized Industrial Cyber-Physical Systems
    Sutrala, Anil Kumar
    Obaidat, Mohammad S.
    Saha, Sourav
    Das, Ashok Kumar
    Alazab, Mamoun
    Park, Youngho
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (03) : 2316 - 2330
  • [24] Private Blockchain-Based AI-Envisioned Home Monitoring Framework in IoMT-Enabled COVID-19 Environment
    Bera, Basudeb
    Mitra, Ankush
    Das, Ashok Kumar
    Puthal, Deepak
    Park, YoungHo
    IEEE CONSUMER ELECTRONICS MAGAZINE, 2023, 12 (03) : 62 - 71
  • [25] Blockchain-Based Device Identity Management and Authentication in Cyber-Physical Systems
    Ghosh, Uttam
    Das, Debashis
    Banerjee, Sourav
    Mohanty, Saraju
    2024 IEEE 21ST CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC, 2024,
  • [26] Blockchain-enabled digital assets tokenization for cyber-physical traceability in E-commerce logistics financing
    Harish, Arjun Rachana
    Liu, X. L.
    Li, Ming
    Zhong, Ray Y.
    Huang, George Q.
    COMPUTERS IN INDUSTRY, 2023, 150
  • [27] A blockchain enabled Cyber-Physical System architecture for Industry 4.0 manufacturing systems
    Lee, Jay
    Azamfar, Moslem
    Singh, Jaskaran
    MANUFACTURING LETTERS, 2019, 20 (34-39) : 34 - 39
  • [28] Securing Smart Healthcare Cyber-Physical Systems against Blackhole and Greyhole Attacks Using a Blockchain-Enabled Gini Index Framework
    Javed, Mannan
    Tariq, Noshina
    Ashraf, Muhammad
    Khan, Farrukh Aslam
    Asim, Muhammad
    Imran, Muhammad
    SENSORS, 2023, 23 (23)
  • [29] A Blockchain-Based Deep Learning Approach for Cyber Security in Next Generation Industrial Cyber-Physical Systems
    Rathore, Shailendra
    Park, Jong Hyuk
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (08) : 5522 - 5532
  • [30] Blockchain-enabled Tensor-based Conditional Deep Convolutional GAN for Cyber-physical-Social Systems
    Feng, Jun
    Yang, Laurence T.
    Zhu, Yuxiang
    Gati, Nicholaus J.
    Mo, Yijun
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)