Blockchain Technology in Scientific Data Management: ‎Security and Efficiency Perspectives

  • Authors

    • K. N. Raja Praveen Assistant Professor, Department of Computer Science and Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be ‎University), Ramnagar District, Karnataka, India
    • Deepak Bhanot Center of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India
    • Amritpal Sidhu Chitkara Center for Research and Development, Chitkara University, Himachal Pradesh, India
    • Dr. Trapty Agarwal Associate Professor, Maharishi School of Engineering & Technology, Maharishi University of Information Technology, Uttar Pradesh, ‎India
    • Dr. Shashikant Patil Professor, uGDX, ATLAS SkillTech University, Mumbai, India
    • Sanjay Kumar Jena Assistant Professor, Department of Computer Science and Engineering, Siksha 'O' Anusandhan (Deemed to be University), ‎Bhubaneswar, Odisha, India
    • Dr.L. Lakshmanan Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, ‎India
    https://doi.org/10.14419/a53ajt05

    Received date: May 2, 2025

    Accepted date: May 31, 2025

    Published date: October 31, 2025

  • Blockchain; Data Management; Security and Efficiency
  • Abstract

    Blockchain is a decentralized architectural model that creates an immutable ledger in a distributed manner for recording all  ‎transactions. Typically, blockchain is a protected and decentralized data store where all the records are positioned in order, as well as events ‎called blocks. All types of data that are apparent to the nodes are recorded in the blockchain-driven system. Meanwhile, it is the apparent, ‎distributed, and open ledger that effectively records every transaction between two parties in an enduring and verifiable way. Once the ‎information is stored, the information present in the blockchain does not get changed unless a record is inserted. In cryptocurrencies, each ‎user has a precise ledger in the network domain, ensuring the complete agreement of users or nodes in the blockchain currencies. The ‎characteristics of blockchain, including transparency, security, and immutability, facilitate the recording and verification of transactions, ‎rendering it appropriate for secure document management, identity verification, maintaining record integrity, and obviating the necessity for ‎third-party intermediaries in transaction verification. The blockchain-based access control technique was devised to enhance security. ‎Consequently, the access control management system stipulates that the total characteristics must be inferior to the number of users‎.

  • References

    1. Dinh, T. T. A., Liu, R., Zhang, M., Chen, G., Ooi, B. C., & Wang, J. (2018). Untangling blockchain: A data processing view of blockchain systems. IEEE Transactions on Knowledge and Data Engineering, 30(7), 1366–1385. https://doi.org/10.1109/TKDE.2017.2781227.
    2. Iskamto, D., &Juariyah, L. (2023). Blockchain technology challenge in the future: Data security and efficiency. International Journal of Law, Policy, and Governance, 2(2), 65–76. https://doi.org/10.54099/ijlpg.v2i2.708.
    3. Huang, J. (2024). Impact of non-performing corporate assets on shareholder’s equity and return on the application of AI and blockchain technologies. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 15(3), 412–423. https://doi.org/10.58346/JOWUA.2024.I3.027.
    4. Paik, H.-Y., Xu, X., Bandara, H. D., Lee, S. U., & Lo, S. K. (2019). Analysis of data management in blockchain-based systems: From architecture to governance. IEEE Access, 7, 186091–186107. https://doi.org/10.1109/ACCESS.2019.2961404.
    5. Im, A., Rahmadika, S., Lee, Y. H., Kim, B., & You, I. (2022). A note on enactment of blockchain for HACCP-based cooperative model. Journal of Internet Services and Information Security, 12(1), 44–56.
    6. Zheng, X., Zhu, Y., & Si, X. (2019). A survey on challenges and progresses in blockchain technologies: A performance and security perspective. Ap-plied Sciences, 9(22), 4731. https://doi.org/10.3390/app9224731.
    7. Krishnan, H., Santhosh, Vijay, & Yasmin, S. (2022). Blockchain for health data management. International Academic Journal of Science and Engi-neering, 9(2), 23–27. https://doi.org/10.9756/IAJSE/V9I2/IAJSE0910.
    8. Singh, S., Sharma, S. K., Mehrotra, P., Bhatt, P., &Kaurav, M. (2022). Blockchain technology for efficient data management in healthcare system: Opportunity, challenges and future perspectives. Materials Today: Proceedings, 62, 5042–5046. https://doi.org/10.1016/j.matpr.2022.04.998.
    9. Kong, Y., Suntrayuth, S., & Lin, F. (2024). Construction of cross-border e-commerce supply chain of agricultural food products based on blockchain technology. Natural and Engineering Sciences, 9(2), 145–163. https://doi.org/10.28978/nesciences.1569226.
    10. Siyal, A. A., Junejo, A. Z., Zawish, M., Ahmed, K., Khalil, A., &Soursou, G. (2019). Applications of blockchain technology in medicine and healthcare: Challenges and future perspectives. Cryptography, 3(1), 3. https://doi.org/10.3390/cryptography3010003.
    11. Akila, A., Nandhini, S., Pavithra, M., Suman, K., &Madhorubagan, E. (2023). Enhancing data storage security using blockchain technique in cloud computing. International Journal of Advances in Engineering and Emerging Technology, 14(1), 77–86.
    12. Kurkin, A. V., Giraev, A. V., &Medzhidov, Z. U. (2021). Corporate database management on the basis of cloud technologies, blockchain technologies and technologies of big data processing: Effectiveness and security. In State and corporate management of region’s development in the conditions of the digital economy (pp. 79–83). https://doi.org/10.1007/978-3-030-46394-6_14.
    13. Ganesan, E., Agarwal, T., Sidhu, J., Goyal, S., Deepak, S., MR, E. J., & Sahu, P. K. (2025). Improving Security in 5G and Next-Generation Net-works Through Blockchain Integration. National Journal of Antennas and Propagation, 7(2), 44-50. https://doi.org/10.31838/NJAP/07.02.09.
    14. Uvarajan, K. P. (2025). Machine Learning-Based EEG Analysis for Early Detection of Alzheimer’s Disease in Aging Populations. Frontiers in Life Sciences Research, 38-43.
    15. Sindhu, S. (2025). Mathematical Analysis of Vibration Attenuation in Smart Structures Using Piezoelectric Layers. Journal of Applied Mathematical Models in Engineering, 26-32.
    16. Salabi, L., & Mdodo, K. L. (2023). Food Safety Challenges in Informal Markets: A Microbiological Assessment of Fresh Produce. National Journal of Food Security and Nutritional Innovation, 1(1), 25-32.
    17. Cao, H., He, H., & Tian, J. (2022). A scientific research information system via intelligent blockchain technology for the applications in university management. Mobile information systems, 2022(1), 7512692. https://doi.org/10.1155/2022/7512692.
    18. Tariq, M. U. (2024). Revolutionizing health data management with blockchain technology: Enhancing security and efficiency in a digital era. In Emerging technologies for health literacy and medical practice (pp. 153–175). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-1214-8.ch008.
    19. Deepa, N., Pham, Q.-V., Nguyen, D. C., Bhattacharya, S., Prabadevi, B., Gadekallu, T. R., Maddikunta, P. K. R., Fang, F., & Pathirana, P. N. (2022). A survey on blockchain for big data: Approaches, opportunities, and future directions. Future Generation Computer Systems, 131, 209–226. https://doi.org/10.1016/j.future.2022.01.017.
    20. Vo, H. T., Kundu, A., &Mohania, M. K. (2018). Research directions in blockchain data management and analytics. In Proceedings of the Internation-al Conference on Extending Database Technology (EDBT) (pp. 445–448).
    21. Huang, S., Wang, G., Yan, Y., & Fang, X. (2020). Blockchain-based data management for digital twin of product. Journal of Manufacturing Sys-tems, 54, 361-371. https://doi.org/10.1016/j.jmsy.2020.01.009.
    22. Kishnani, U., Madabhushi, S., & Das, S. (2023, July). Blockchain in oil and gas supply chain: a literature review from user security and privacy per-spective. In International Symposium on Human Aspects of Information Security and Assurance (pp. 296-309). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-38530-8_24.
    23. Rocha, G. D. S. R., Mühl, D. D., Chingamba, H. A., de Oliveira, L., & Talamini, E. (2023). Blockchain, Quo Vadis? Recent Changes in Perspectives on the Application of Technology in Agribusiness. Future internet, 15(1), 38. https://doi.org/10.3390/fi15010038.
    24. Abbas, A., Alroobaea, R., Krichen, M., Rubaiee, S., Vimal, S., & Almansour, F. M. (2024). Blockchain-assisted secured data management framework for health information analysis based on Internet of Medical Things. Personal and ubiquitous computing, 28(1), 59-72. https://doi.org/10.1007/s00779-021-01583-8.
    25. Liu, Y., Peng, S., Zhang, M., Shi, S., & Fu, J. (2024). Towards secure and efficient integration of blockchain and 6G networks. Plos one, 19(4), e0302052. https://doi.org/10.1371/journal.pone.0302052.
    26. Iliev, K. (2022). Philosophical views on the procedure for regulating the norms of Blockchain technologies in the context of future prospects for the development of the meta-universe. Futurity Philosophy, 1(1), 30-41. https://doi.org/10.57125/FP.2022.03.30.03.
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  • How to Cite

    Praveen , K. N. R. ., Bhanot , D. ., Sidhu , A. ., Agarwal , D. T. ., Patil , D. S. ., Jena , S. K. ., & Lakshmanan , D. . (2025). Blockchain Technology in Scientific Data Management: ‎Security and Efficiency Perspectives. International Journal of Basic and Applied Sciences, 14(SI-1), 332-337. https://doi.org/10.14419/a53ajt05