A blockchain-based cyber-security for connected networks

被引:0
作者
Choudhary, Deepak [1 ]
Pahuja, Roop [1 ]
机构
[1] Dr BR Ambekar Natl Inst Technol, Jalandhar, India
关键词
Internet of things; Blockchain; Data privacy; Security system; Distributed management; IIoT; INTERNET; THINGS;
D O I
10.1007/s12083-023-01506-9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Both technical and commercial businesses have become increasingly interested in blockchain technology. The Internet of Things (IoT) was established out of the interconnectedness of numerous new technologies, such as wireless technology, the Internet, embedded automation systems, and micro-electromechanical devices. Manufacturing settings and activities have been successfully altered into the fourth industrial revolution, known as Industry 4.0, by applying cutting-edge technologies such as cloud computing (CC), cloud service provider (CSP), Information communication technologies (ICT), and Enterprise Model, as well as other technological advancements. Data management is characterized as acquiring data to make better business decisions; data about a corporation is processed, secured, and stored. In the early notion, there were connected contrivances and Machine-to-Machine (M2M) interactions, and transaction data is recorded on the Blockchain. Security is a challenging subject that must be carefully considered throughout a CSP's design and development phases. By focusing on such issues while taking into account the traditional characteristics of IoT/ IIoT-predicated environments, we proposed a Secure and Distributed Framework for Resource Management (SDFRM) in Industry 4.0 environments within a distributed and collaborative Industry 4.0 system, the dynamic and trust-based Distributed Management Framework (DMF) of shared resource access, in this research article. Furthermore, to offer strong privacy assurances for Access Control (AC)-equivalent actions, a privacy-preserving approach is devised and implemented into the Distributed Management Framework (DMF). Based on blockchain technology and peer-to-peer networks, the recommended DMF provides for dynamic access control and system governance without relying on third-party vulnerabilities. A privacy-preserving technique is presented and implemented into the DMF to give adequate privacy safeguards for AC-related processes. With an average throughput of 98.15 percent, our proposal exceeds the Multichannel Blockchain regarding successful storage transactions.
引用
收藏
页码:1852 / 1867
页数:16
相关论文
共 21 条
  • [1] Application of reinforcement learning to routing in distributed wireless networks: a review
    Al-Rawi, Hasan A. A.
    Ng, Ming Ann
    Yau, Kok-Lim Alvin
    [J]. ARTIFICIAL INTELLIGENCE REVIEW, 2015, 43 (03) : 381 - 416
  • [3] Internet of Things: A survey on machine learning-based intrusion detection approaches
    da Costa, Kelton A. P.
    Papa, Joao P.
    Lisboa, Celso O.
    Munoz, Roberto
    de Albuquerque, Victor Hugo C.
    [J]. COMPUTER NETWORKS, 2019, 151 : 147 - 157
  • [4] A framework of blockchain-based secure and privacy-preserving E-government system
    Elisa, Noe
    Yang, Longzhi
    Chao, Fei
    Cao, Yi
    [J]. WIRELESS NETWORKS, 2023, 29 (03) : 1005 - 1015
  • [5] Combining Blockchain and IoT: Food-Chain Traceability and Beyond
    Grecuccio, Jacopo
    Giusto, Edoardo
    Fiori, Fabio
    Rebaudengo, Maurizio
    [J]. ENERGIES, 2020, 13 (15)
  • [6] Guo R, 2018, IEEE ACCESS, V6, P11
  • [7] Haghi M, 2017, HEALTHC INFORM RES, V23, P4
  • [8] Hamid UZA, 2019, EAI SPRINGER INNOVAT, P137, DOI 10.1007/978-3-319-93557-7_9
  • [9] CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles
    Li, Lun
    Liu, Jiqiang
    Cheng, Lichen
    Qiu, Shuo
    Wang, Wei
    Zhang, Xiangliang
    Zhang, Zonghua
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (07) : 2204 - 2220
  • [10] A novel smart card and dynamic ID based remote user authentication scheme for multi-server environments
    Li, Xiong
    Ma, Jian
    Wang, Wendong
    Xiong, Yongping
    Zhang, Junsong
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 2013, 58 (1-2) : 85 - 95