Journal of Cybersecurity and Information Management

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https://doi.org/10.54216/JCIM

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Volume 14 , Issue 1 , PP: 50-63, 2024 | Cite this article as | XML | Html | PDF | Full Length Article

Secure Medical Records Through Big Data Analytics and Blockchain

Hamad Almani 1 * , Shailendra Mishra 2 , Aditi Singh 3

  • 1 Department of Information Technology Majmaah University, Majmaah, Saudi Arabia - (441104465@s.mu.edu.sa)
  • 2 Department of Computer Engineering Majmaah University, Majmaah, Saudi Arabia - (s.mishra@mu.edu.sa)
  • 3 Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, 208016, India - (aditisi22@iitk.ac.in)
  • Doi: https://doi.org/10.54216/JCIM.140104

    Received: January 18, 2024 Revised: March 05, 2024 Accepted: May 23, 2024
    Abstract

    As healthcare shifts to digital platforms, the healthcare sector is suffering from multiple security vulnerabilities that make it vulnerable to various types of cyberattacks. Therefore, robust security solutions need to be implemented to resolve these vulnerabilities. In this context, blockchain technology has emerged as a promising solution in several sectors, including the healthcare sector. This study harnesses blockchain technology to improve medical record management. By integrating blockchain, we address issues like data breaches and inefficient data sharing. The proposed study ensures a seamless health record exchange that is secure, transparent, and beneficial to both patients and healthcare providers. The goal of this study is to empower patients to be more in control of their data while streamlining processes and enhancing security for healthcare institutions. Medical records are increasingly secure, interoperable, and accessible when blockchain technology and big data are used. According to the study, healthcare workers recognize the importance of protecting medical records through blockchain technology and big data, which can improve security, interoperability, and accessibility. This minimizes concerns related to data manipulation while providing a more cost-effective and efficient method of managing medical records. Medical records management is made more cost-effective and efficient by reducing concerns related to data manipulation.

    Keywords :

    Big data analytics , Blockchain , medical records , security , privacy , healthcare

    References

     

    [1]    .Vanin, F.N.d.S.; Policarpo, L.M.; Righi, R.d.R.; Heck, S.M.; da Silva, V.F.; Goldim, J.; da Costa, C.A. A Blockchain-Based End-to-End Data Protection Model for Personal Health Records Sharing: A Fully Homomorphic Encryption Approach. Sensors 2023, 23, 14. https://www.mdpi.com/1424-8220/20/22/6538

    [2]    . Ali, A.; Al-rimy, B.A.S.; Alsubaei, F.S.; Almazroi, A.A.; Almazroi, A.A. HealthLock: Blockchain-Based Privacy Preservation Using Homomorphic Encryption in Internet of Things Healthcare Applications. Sensors 2023, 23, 6762. https://www.mdpi.com/1424-8220/23/15/6762

    [3]    . Pilares, I.C.A.; Azam, S.; Akbulut, S.; Jonkman, M.; Shanmugam, B. Addressing the Challenges of Electronic Health Records Using Blockchain and IPFS. Sensors 2022, 22, 4032. https://pubmed.ncbi.nlm.nih.gov/35684652/

    [4]    . Ismail, L.; Materwala, H.; Hennebelle, A. A Scoping Review of Integrated Blockchain-Cloud (BcC) Architecture for Healthcare: Applications, Challenges and Solutions. Sensors 2021, 21, 3753. https://www.mdpi.com/1424-8220/21/11/3753

    [5]    . Shahid, A.; Nguyen, T.-A.N.; Kechadi, M.-T. Big Data Warehouse for Healthcare-Sensitive Data Applications. Sensors 2021, 21, 2353. https://www.mdpi.com/1424-8220/21/7/2353

    [6]    .Ahmed, M.; Dar, A.R.; Helfert, M.; Khan, A.; Kim, J. Data Provenance in Healthcare: Approaches, Challenges, and Future Directions. Sensors 2023, 23, 6495. https://www.mdpi.com/1424-8220/23/14/6495

    [7]    .Sadhu, P.K.; Yanambaka, V.P.; Abdelgawad, A.; Yelamarthi, K. Prospect of Internet of Medical Things: A Review on Security Requirements and Solutions. Sensors 2022, 22, 5517. https://www.mdpi.com/1424-8220/22/15/5517

    [8]    .Psarra, E.; Apostolou, D.; Verginadis, Y.; Patiniotakis, I.; Mentzas, G. Context-Based, Predictive Access Control to Electronic Health Records. Electronics 2022, 11, 3040. https://doi.org/ 10.3390/electronics11193040

    [9]     .Ktari, J.; Frikha, T.; Ben Amor, N.; Louraidh, L.; Elmannai, H.; Hamdi, M. IoMT-Based Platform for E-Health Monitoring Based on the Blockchain. Electronics 2022, 11, 2314. https://doi.org/10.3390/ electronics11152314

    [10]  .M. Budman, B. Hurley, A. Khan, and N. Gangopadhyay, “Deloitte’s 2019 Global Blockchain Survey,” 2019. [Online]. Available: https://www2.deloitte.com/content/dam/insights/ us/articles/2019-global-Blockchain-survey/DI_2019-globalBlockchain-survey.pdf (accessed May 03, 2023).

    [11] .Z. Alhadhrami, S. Alghfeli, M. Alghfeli, J. A. Abedlla, and K. Shuaib, “Introducing Blockchains for healthcare,” in 2017 Int. Conf. Electr. Comput. Technol. Appl. (ICECTA), Nov. 2017, pp. 1–4. doi: 10.1109/ICECTA.2017.8252043.

    [12] .P. J. Korsten, “Healthcare rallies for Blockchains: Keeping patients at the center,” 2017. [Online]. Available: https:// www.linkedin.com/pulse/healthcare-rallies-Blockchainskeeping-patients-center-korsten/ (accessed May 03, 2023).

    [13] .S. Khezr, M. Moniruzzaman, A. Yassine, and R. Benlamri, “Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research,” Appl. Sci., vol. 9, no. 9, Art. no. 9, Jan. 2019, doi: 10.3390/app9091736.

    [14] .G. G. Dagher, J. Mohler, M. Milojkovic, and P. B. Marella, “Ancile: Privacy-preserving framework for access control and interoperability of electronic health records using Blockchain technology,” Sustain. Cities Soc., vol. 39, pp. 283–297, May 2018, doi: 10.1016/j.scs.2018.02.014.

    [15] .K. Clauson, E. Breeden, C. Davidson, and T. Mackey, “Leveraging Blockchain Technology to Enhance Supply Chain Management in Healthcare,” Blockchain Healthc. Today, vol. 1, Mar. 2018, doi: 10.30953/bhty.v1.20.

    [16] .G. Carter, D. White, A. Nalla, H. Shahriar, and S. Sneha, “Toward Application of Blockchain for Improved Health Records Management and Patient Care,” Blockchain Healthc. Today, vol. 2, Jun. 2019, doi: 10.30953/bhty.v2.37.

    [17] .J. Frizzo-Barker, P. A. Chow-White, P. R. Adams, J. Mentanko, D. Ha, and S. Green, “Blockchain as a disruptive technology for business: A systematic review,” Int. J. Inf. Manag., vol. 51, p. 102029, Apr. 2020, doi: 10.1016/j. ijinfomgt.2019.10.014. [27] H. S. A. Fang, T. H. Tan, Y. F. C. Tan, and C. J. M. Tan, “Blockchain Personal Health Records: Systematic Review,” J. Med. Internet Res., vol. 23, no. 4, p. e25094, Apr. 2021, doi: 10.2196/25094.

    [18] .G. Meyer and F. McCraw,“Healthcare: Blockchain’s Curative Potential for Healthcare Efficiency and Quality," Cognizant, 2017> [Online]. Available: https://dokumen.tips/documents/ healthcare-Blockchainas-curative-potential-for-healthcareefficiency-2020-04-05.html (accessed May 03, 2023).

    [19] .N. Nchinda, A. Cameron, K. Retzepi, and A. Lippman, “MedRec: A Network for Personal Information Distribution,” in 2019 Int. Conf. Comput. Netw. Commun. (ICNC), Feb. 2019, pp. 637–641. doi: 10.1109/ICCNC.2019.8685631.

    [20] .P. Tagde et al., “Blockchain and artificial intelligence technology in e-Health,” Environ. Sci. Pollut. Res., vol. 28, no. 38, pp. 52810–52831, Oct. 2021, doi: 10.1007/s11356- 021-16223-0.

    [21] .M. Mettler, “Blockchain technology in healthcare: The revolution starts here,” in 2016 IEEE 18th Int. Conf. e-Health Netw. Appl. Serv. (Healthcom), Sep. 2016, pp. 1–3. doi10.1109/HealthCom.2016.7749510.

    [22] R. Yousuf, Z. Jeelani, D. A. Khan, O. Bhat, and T. A. Teli, “Consensus Algorithms in Blockchain-Based Cryptocurrencies,” in 2021 Int. Conf. Adv. Electr. Comput. Commun. Sustain. Technol. (ICAECT), Feb. 2021, pp. 1–6. doi: 10.1109/ICAECT49130.2021.9392489.

    [23] .M. Krichen, M. Lahami, and Q. A. Al–Haija, “Formal Methods for the Verification of Smart Contracts: A Review,” in 2022 15th Int. Conf. Secur. Inf. Netw. (SIN), Nov. 2022, pp. 01–08. doi: 10.1109/SIN56466.2022.9970534.

    [24] .R. Yousuf, D. A. Khan, and Z. Jeelani, Security and Privacy Concerns for Blockchain While Handling Healthcare Data,Florida, USA: CRC Press, 2021.

    [25] .T. Teli, R. Yousuf, and D. Khan, “Ensuring Secure Data Sharing in IoT Domains Using Blockchain,” in Cyber Security and Digital Forensics, M. Ghonge, S. Pramanik,

     

    Cite This Article As :
    Almani, Hamad. , Mishra, Shailendra. , Singh, Aditi. Secure Medical Records Through Big Data Analytics and Blockchain. Journal of Cybersecurity and Information Management, vol. , no. , 2024, pp. 50-63. DOI: https://doi.org/10.54216/JCIM.140104
    Almani, H. Mishra, S. Singh, A. (2024). Secure Medical Records Through Big Data Analytics and Blockchain. Journal of Cybersecurity and Information Management, (), 50-63. DOI: https://doi.org/10.54216/JCIM.140104
    Almani, Hamad. Mishra, Shailendra. Singh, Aditi. Secure Medical Records Through Big Data Analytics and Blockchain. Journal of Cybersecurity and Information Management , no. (2024): 50-63. DOI: https://doi.org/10.54216/JCIM.140104
    Almani, H. , Mishra, S. , Singh, A. (2024) . Secure Medical Records Through Big Data Analytics and Blockchain. Journal of Cybersecurity and Information Management , () , 50-63 . DOI: https://doi.org/10.54216/JCIM.140104
    Almani H. , Mishra S. , Singh A. [2024]. Secure Medical Records Through Big Data Analytics and Blockchain. Journal of Cybersecurity and Information Management. (): 50-63. DOI: https://doi.org/10.54216/JCIM.140104
    Almani, H. Mishra, S. Singh, A. "Secure Medical Records Through Big Data Analytics and Blockchain," Journal of Cybersecurity and Information Management, vol. , no. , pp. 50-63, 2024. DOI: https://doi.org/10.54216/JCIM.140104