Research article Special Issues

Industry 5.0: Ethereum blockchain technology based DApp smart contract

  • Received: 03 July 2021 Accepted: 12 August 2021 Published: 23 August 2021
  • The use of advanced technologies has increased drastically to maintain any sensitive records related to education, health, or finance. It helps to protect the data from unauthorized access by attackers. However, all the existing advanced technologies face some issues because of their uncertainties. These technologies have some lapses to provide privacy, attack-free, transparency, reliability, and flexibility. These characteristics are essential while managing any sensitive data like educational certificates or medical certificates. Hence, we designed an Industry 5.0 based blockchain application to manage medical certificates using Remix Ethereum blockchain in this paper. This application also employs a distributed application (DApp) that uses a test RPC-based Ethereum blockchain and user expert system as a knowledge agent. The main strength of this work is the maintenance of existing certificates over a blockchain with the creation of new certificates that use logistic Map encryption cipher on existing medical certificates while uploading into the blockchain. This application helps to quickly analyze the birth, death, and sick rate as per certain features like location and year.

    Citation: Ch. Rupa, Divya Midhunchakkaravarthy, Mohammad Kamrul Hasan, Hesham Alhumyani, Rashid A. Saeed. Industry 5.0: Ethereum blockchain technology based DApp smart contract[J]. Mathematical Biosciences and Engineering, 2021, 18(5): 7010-7027. doi: 10.3934/mbe.2021349

    Related Papers:

  • The use of advanced technologies has increased drastically to maintain any sensitive records related to education, health, or finance. It helps to protect the data from unauthorized access by attackers. However, all the existing advanced technologies face some issues because of their uncertainties. These technologies have some lapses to provide privacy, attack-free, transparency, reliability, and flexibility. These characteristics are essential while managing any sensitive data like educational certificates or medical certificates. Hence, we designed an Industry 5.0 based blockchain application to manage medical certificates using Remix Ethereum blockchain in this paper. This application also employs a distributed application (DApp) that uses a test RPC-based Ethereum blockchain and user expert system as a knowledge agent. The main strength of this work is the maintenance of existing certificates over a blockchain with the creation of new certificates that use logistic Map encryption cipher on existing medical certificates while uploading into the blockchain. This application helps to quickly analyze the birth, death, and sick rate as per certain features like location and year.



    加载中


    [1] R Kumar, P Gupta, S Singh, D Jain, Human Empowerment by Industry 5.0 in Digital Era: Analysis of Enablers, in Advances in Industrial and Production Engineering: Select Proceedings of FLAME, Springer, (2020), 401.
    [2] Blockcerts, Blockchain Credentials, 2019. Available from: https://www.blockcerts.org.
    [3] S. Sun, R. Du, S. Chen, W. Li, Blockchain-based IoT access control system: towards security, lightweight, and cross-domain, IEEE Access, 9 (2021), 36868-36878.
    [4] W. Lin, X. Huang, H. Fang, V. Wang, Y. Hua, J. Wang, et al., Blockchain technology in current agricultural systems: from techniques to applications, IEEE Access, 8 (2020), 143920-143937.
    [5] R. Garrard, S. Fielke, Blockchain for trustworthy provenances: A case study in the Australian aquaculture industry, Technol. Soc., 62 (2020), 101298. doi: 10.1016/j.techsoc.2020.101298
    [6] M. K. Lim, Y. Li, C. Wang, M. L. Tseng, A literature review of blockchain technology applications in supply chains: a comprehensive analysis of themes, methodologies and industries, Comput. Ind. Eng., 154 (2021), 107133.
    [7] A. J. Sherule, R. Dudhe, Disruptive technologies in energy and environment, 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, 37-41.
    [8] M. Turkanović, M. Hölbl, K. Košič, M. Heričko, A. Kamišalić, EduCTX: A blockchain-based higher education credit platform, IEEE Access, 6 (2018), 5112-5127. doi: 10.1109/ACCESS.2018.2789929
    [9] C. Oham, R. A. Michelin, R. Jurdak, S. S. Kanhere, S. Jha, B-FERL: Blockchain based framework for securing smart vehicles, Inf. Proc. Manage., 58 (2021), 102426. doi: 10.1016/j.ipm.2020.102426
    [10] A. A. Abdellatif, A. Z. Al-Marridi, A. Mohamed, A. Erbad, C. F. Chiasserini, A. Refaey, ssHealth: toward secure, blockchain-enabled healthcare systems, IEEE Network, 34 (2020), 312-319.
    [11] B. K. Mohanta, D. Jena, S. Ramasubbareddy, M. Daneshmand, A. H. Gandomi, Addressing security and privacy issues of IoT using blockchain technology, IEEE Internet Things J., 8 (2021), 881-888. doi: 10.1109/JIOT.2020.3008906
    [12] A. Tandon, A. Dhir, N. Islam, M. Mä ntymä ki, Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda, Comput. Ind., 122 (2020), 103290.
    [13] S. Tanwar, K. Parekh, R. Evans, Blockchain-based electronic healthcare record system for healthcare 4.0 applications, J. Inf. Secur. Appl., 50 (2020), 102407.
    [14] E. Chukwu, L. Garg, A Systematic review of blockchain in healthcare: rrameworks, prototypes, and implementations, IEEE Access, 8 (2020), 21196-21214.
    [15] R. B. Fekih, M. Lahami, Application of Blockchain Technology in Healthcare: A Comprehensive Study, International Conference on Smart Homes and Health Telematics, 2020,268-276.
    [16] W. Lin, X. Huang, H. Fang, V. Wang, Y. Hua, J. Wang, Blockchain technology in current agricultural systems: from techniques to applications, IEEE Access, 8 (2020), 143920-143937. doi: 10.1109/ACCESS.2020.3014522
    [17] R. Shrestha, R. Bajracharya, A. P. Shrestha, S. Y. Nam, A new type of blockchain for secure message exchange in VANET, Digital Commun. Networks, 6 (2020), 177-186. doi: 10.1016/j.dcan.2019.04.003
    [18] C. T. Li, D. H. Shih, C. C. Wang, C. L. Chen, C. C. Lee, A blockchain based data aggregation and group authentication scheme for electronic medical system, IEEE Access, 8(2020), 173904-173917. doi: 10.1109/ACCESS.2020.3025898
    [19] M. Al Baqari, E. Barka, Biometric-based blockchain ehr system (bbehr), 2020 International Wireless Communications and Mobile Computing (IWCMC), 2020, 2228-2234.
    [20] M. T. Quasim, F. Algarni, A. A. E. Radwan, G. M. M. Alshmrani, A Blockchain based Secured Healthcare Framework, 2020 International Conference on Computational Performance Evaluation (ComPE), 2020,386-391.
    [21] N. Tsafack, S. Sankar, B. Abd-El-Atty, J. Kengne, K. C. Jithin, A. Belazi, et al., A new chaotic map with dynamic analysis and encryption application in internet of health things, IEEE Access, 8 (2020), 137731-137744.
    [22] S. Saberi, M. Kouhizadeh, J. Sarkis, L. Shen, Blockchain technology and its relationships to sustainable supply chain management, Int. J. Prod. Res., 57 (2019), 2117-213. doi: 10.1080/00207543.2018.1533261
    [23] A. Hasselgren, J. A. H. Rensaa, K. Kralevska, D. Gligoroski, A. Faxvaag, Blockchain for Increased Trust in Virtual Health Care: Proof-of-Concept Study, J. Med. Internet Res., 23 (2021), e28496.
    [24] F. Jamil, L. Hang, K. H. Kim, D. H. Kim, A novel medical blockchain model for drug supply chain integrity management in a smart hospital, Electronics, 8 (2018), 505.
    [25] A. Hasselgren, K. Kralevska, D. Gligoroski, S. A. Pedersen, A. Faxvaag, Blockchain in healthcare and health sciences-A scoping review, Int. J. Med. Inf., 134 (2020), 104040. doi: 10.1016/j.ijmedinf.2019.104040
    [26] J. A. H. Rensaa, D. Gligoroski, K. Kralevska, A. Hasselgren, A. Faxvaag, VerifyMed-A blockchain platform for transparent trust in virtualized healthcare: Proof-of-concept, Proceedings of the 2020 2nd International Electronics Communication Conference (IECC 2020), 2020, 73-80.
    [27] N. Faour, Transparent E-Voting dApp Based on Waves Blockchain and RIDE Language, 2019 XVI International Symposium "Problems of Redundancy in Information and Control Systems" (REDUNDANCY), 2019,219-223.
    [28] A. Beikverdi, J. S. Song, Trend of centralization in Bitcoin's distributed network, 2015 IEEE/ACIS 16th international conference on software engineering, artificial intelligence, networking and parallel/distributed computing (SNPD), 2015, 1-3.
    [29] C. Rupa, G. Srivastava, T. R. Gadekallu, P. K. R. Maddikunta, S. Bhattacharya, A Blockchain Based Cloud Integrated IoT Architecture Using a Hybrid Design, International Conference on Collaborative Computing: Networking, Applications and Worksharing, 2020,550-559.
    [30] S. S. R. Krishnan, M. K. Manoj, T. R. Gadekallu, N. Kumar, P. K. R. Maddikunta, S. Bhattacharya, et al., A Blockchain-Based Credibility Scoring Framework for Electronic Medical Records, 2020 IEEE Globecom Workshops (GC Wkshps), 2020, 1-6.
    [31] T. R. Gadekallu, N. Kumar, S. Hakak, N. Kumar, S. Hakak, S. Bhattacharya, Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications, preprint, arXiv: 2011.01457.
    [32] W. Wang, H. Xu, M. Alazab, T. R. Gadekallu, Z. Han, C.Su, Blockchain-Based Reliable and Efficient Certificateless Signature for IoT Devices, IEEE Trans. Ind. Inf., 2021 (2021).
    [33] R. Ch, G. Srivastava, T. R. Gadekallu, P. K. R. Maddikunta, S. Bhattacharya, Security and privacy of UAV data using blockchain technology, J. Inf. Secur. Appl., 55 (2020), 102670.
    [34] M. M. Saeed, R. A. Saeed, E. Saeid, Preserving privacy of paging procedure in 5thG using identity-division multiplexing, 2019 First International Conference of Intelligent Computing and Engineering (ICOICE), 2019, 1-6.
    [35] R. A. Saeed, M. M. Saeed, R. A. Mokhtar, H. Alhumyani, S. Abdel-Khalek, Pseudonym mutable based privacy for 5G user identity, J. Comput. Syst. Sci. Eng., 29 (2021), 1-14.
    [36] N. Nurelmadina, M. K. Hasan, I. Memon, R. A. Saeed, K. A. Z. Ariffin, E. S. Ali, et al., A systematic review on cognitive radio in low power wide area network for industrial IoT applications, Sustainability, 13 (2021), 338.
    [37] P. K. R. Maddikunta, P. Quoc-Viet, B. Prabadevi, N. Deepa, D. Kapal, et al., Industry 5.0: a survey on enabling technologies and potential applications, J. Ind. Inf. Integr., 2021 (2021), 100257.
    [38] M. K. Hasan, S. Islam, S. Sulaiman, S. Khan, A. H. Hashim, S. Habib, et al., Lightweight encryption technique to enhance medical image security on internet of medical things applications, IEEE Access, 9 (2021), 47731-47742.
    [39] M. Akhtaruzzaman, M. K. Hasan, S. R. Kabir, S. N. Abdullah, M. J. Sadeq, E. Hossain, HSIC bottleneck based distributed deep learning model for load forecasting in smart grid with a comprehensive survey, IEEE Access, 2020 (2020).
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(506) PDF downloads(58) Cited by(0)

Article outline

Figures and Tables

Figures(12)  /  Tables(6)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog