Decentralized Data Integrity: Integrating MySQL with Blockchain for Resilient Healthcare Systems

Authors

  • Deepak Chandra Uprety Dept. of Computer Science and Engineering, Noida Institute of Engineering and Technology, Greater Noida, India
  • Kamal Upreti Dept. of Computer Science, Christ University, Delhi NCR Campus, Ghaziabad, India
  • Pravin R. Kshirsagar Dept. of Electronics & Telecommunication, J D College of Engineering & Management, Nagpur, Maharashtra, India
  • Tan Kuan Tak Engineering Cluster, Singapore Institute of Technology, Singapore
  • Shitiz Upreti School of Computer Science & Engineering (SCSE), IILM University, Greater Noida (UP), India
  • Ganesh V. Radhakrishnan Dept. of Economics and Finance, KIIT School of Management (KSOM), KIIT University, Bhubaneswar, India
  • Ajay Kumar Inderprastha Engineering College, Ghaziabad, India

DOI:

https://doi.org/10.13052/jmm1550-4646.2124

Keywords:

MySQL, Blockchain, Healthcare Information Systems, Data Security, Data Integration

Abstract

A transformational solution to the problems created by healthcare data management is presented by the integration of MySQL and blockchain technology, centered around security, scalability, and efficiency. This paper presents MBHA MySQL-Blockchain Healthcare Architecture combining the structured data storage, querying capabilities of MySQL with the decentralized, tamper-proof framework of blockchain. The system shows impressive performance metrics with an average API response time of 1.54 seconds for user registration and 841 milliseconds for login. The database queries and data retrieval or insertion took less than 1 millisecond, and JWT tokens were generated for authentication in less than 50 milliseconds. Conclusion Results indicate an efficient real-time system to accomplish tasks with integrity in terms of data but also with safety in operations. This architectural model, discussed above, is issues regarding data security and access with a need to provide care-collaboration needs. Scalability would then be optimized while keeping down computational overhead; in fact, work toward readiness for adoption is mainly towards being more regulatory compliant.

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Author Biographies

Deepak Chandra Uprety, Dept. of Computer Science and Engineering, Noida Institute of Engineering and Technology, Greater Noida, India

Deepak Chandra Uprety is an Associate Professor in the Department of Computer Science at Noida Institute of Engineering & Technology, 19, Knowledge Park-II, Institutional Area, Greater Noida, India. He has B. Tech, M. Tech, and PhD degree in Computer Science & Engineering. Mobile computing is one of the interesting fields and also has publications and papers in other areas such as Big Data, AI & ML, etc. His areas of specialization include Data mining, and Computer graphics, in addition to Artificial Intelligence and Machine Learning.

Kamal Upreti, Dept. of Computer Science, Christ University, Delhi NCR Campus, Ghaziabad, India

Kamal Upreti is currently working as an Associate Professor in Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India. He completed is B. Tech (Hons) Degree from UPTU, M. Tech (Gold Medalist), PGDM (Executive) from IMT Ghaziabad and PhD in Department of Computer Science & Engineering. He has completed Postdoc from National Taipei University of Business, TAIWAN funded by MHRD.

He has published 50+ Patents, 32+Magazine issues and 154+ Research papers in in various reputed Journals and international Conferences. His areas of Interest such as Modern Physics, Data Analytics, Cyber Security, Machine Learning, Health Care, Embedded System and Cloud Computing. He has published more than 45+ authored and edited books under CRC Press, IGI Global, Oxford Press and Arihant Publication. He is having enriched years’ experience in corporate and teaching experience in Engineering Colleges.

He worked with HCL, NECHCL, Hindustan Times, Dehradun Institute of Technology and Delhi Institute of Advanced Studies, with more than 15+ years of enrich experience in research, Academics and Corporate. He also worked in NECHCL in Japan having project – “Hydrastore” funded by joint collaboration between HCL and NECHCL Company. Dr. Upreti worked on Government project – “Integrated Power Development Scheme (IPDS)” was launched by Ministry of Power, Government of India with the objectives of Strengthening of sub-transmission and distribution network in the urban areas. Currently, he has completed work with Joint collaboration with GB PANT & AIIMS Delhi, under funded project of ICMR Scheme on Cardiovascular diseases prediction strokes using Machine Learning Techniques from year 2017–2020 of having fund of 80 Lakhs. He got 5 Lakhs fund from DST SERB for conducting International Conference, ICSCPS-2024, 13–14 Sept 2024. Recently, he got 10 Lakhs fund from AICTE – Inter-Institutional Biomedical Innovations and Entrepreneurship Program (AICTE-IBIP) for 2024–2026. He has attended as a Session Chair Person in National, International conference and key note speaker in various platforms such as Skill based training, Corporate Trainer, Guest faculty and faculty development Programme. He awarded as best teacher, best researcher, extra academic performer and Gold Medalist in M. Tech programme.

Pravin R. Kshirsagar, Dept. of Electronics & Telecommunication, J D College of Engineering & Management, Nagpur, Maharashtra, India

Pravin R. Kshirsagar presently serving as a Professor at Electronics & Telecommunication Engineering, J D College of Engineering & Management, Nagpur India. Previously, he served as a HOD, Vice Principal, Dean R&D, Head-ETC in the in prominent Institute of India. Under his Supervision Three scholars awarded the Ph.D thesis. He is Recognized Post-Doc supervisor in many countries also guiding four Post-doc fellow. He has achieved Hon. D.Eng for outstanding contribution in artificial neural modeling in neuroscience from Shiraz university of medical sciences in May 2022. He has vast experience of 22 years in teaching. He has served as reviewer in many international journals such as Inderscience, Spinger, Elsevier and IEEE Transaction. He has also delivered special talks in National & International conferences and chaired various technical sessions in International conferences. He has published various research papers in reputed journals. He has published more than 120 paper in National & International levels. He has 40 Indian Patent in his credential and 20 International Patent, He has 10 books in his credential. He is profoundly engrossed in the area of Data Science, Machine Learning, Artificial Intelligence, and Computer Networks.

Tan Kuan Tak, Engineering Cluster, Singapore Institute of Technology, Singapore

Tan Kuan Tak is currently an Associate Professor at the Singapore Institute of Technology (SIT). He is registered as Chartered Engineer with Engineering Council, UK and Certified Energy Manager with The Institution of Engineers, Singapore. He is also a Specialist Adult Educator registered with the Institute for Adult Learning, Singapore. Dr Tan has several years of teaching experience in the engineering field. Prior to joining SIT, he has worked as a research fellow in NTU, as an engineer at SP PowerGrid, and as a lecturer at Ngee Ann Polytechnic, Singapore. His research interests include smart grids and microgrids, power distribution systems and protection, advanced electrification for transportation and buildings and energy management.

Shitiz Upreti, School of Computer Science & Engineering (SCSE), IILM University, Greater Noida (UP), India

Shitiz Upreti is an Assistant Professor and Researcher at IILM University, Greater Noida, in the School of Computer Science and Engineering. With over 12 years of experience in academia, research, and workshop facilitation, he brings extensive knowledge to the classroom and beyond. His specialisations include Artificial Intelligence (AI), Machine Learning (ML), Business Analytics, and Cloud Computing. He is committed to promoting innovation and analytical thinking and actively participates in value-added courses and multidisciplinary research. His dedication to excellence in teaching and mentoring helps develop future-ready workers in the ever-changing tech industry. He continues to make valuable contributions to both academics and industry.

Ganesh V. Radhakrishnan, Dept. of Economics and Finance, KIIT School of Management (KSOM), KIIT University, Bhubaneswar, India

Ganesh V. Radhakrishnan is a Senior Professor at the KIIT School of Management, with over 30 years of experience in military service, industry leadership, and academia. He holds a Ph.D. from IIM Ahmedabad and an MBA from IIM Kozhikode. His primary research focuses on port economics and public systems. His current research examines the economic impacts of supply chain optimization, port efficiency, sustainability, and the application of AI in management. A prolific scholar, Dr. Radhakrishnan has published extensively in peer-reviewed journals and presented at leading international conferences. He has held significant academic leadership roles, advancing research and fostering interdisciplinary collaborations with global institutions.

Ajay Kumar, Inderprastha Engineering College, Ghaziabad, India

Ajay Kumar obtained his B.Tech (Industrial Engineering) from NIT, Jalandhar, M.Tech (Mechanical Engineering) from IIT Roorkee, Ph.D. (Mechanical Engineering) from NIT, Kurukshetra and completed six months course on Data Science and Machine Learning from IIT Delhi and Post doctorate Researcher/ Remote from Singapur institute of Technology. Prof. Kumar has a rich experience of over twenty-Six years of teaching undergraduate and postgraduate Engineering students.

Presently, he is serving as Director, Inderprastha Engineering College, Ghaziabad. Prior to this he had worked with many reputed private institutions and university. His areas of interest include Industrial Engineering, Modeling & Simulation Manufacturing Engineering (especially in Advanced Welding processes) and Data Science & Machine Learning.

He has published more than thirty research papers in national and international Journals of repute and conferences as well. He has published three patents in the area of Mechanical Engineering. Moreover, he has also guided seven M.Tech Dissertations, and guided three Ph.D. candidates as well.

He is also a Fellow Member of Institution of Engineers, India and IEEE Life member of Indian Society for Technical Education (I.S.T.E.); Senior Individual Member of Indian National Academy of Engineering (INAE). He had been the member in Board of Study (BOS) & Academic Council for many reputed Universities.

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Published

2025-07-08

How to Cite

Uprety, D. C. ., Upreti, K. ., Kshirsagar, P. R. ., Tak, T. K. ., Upreti, S. ., Radhakrishnan, G. V. ., & Kumar, A. . (2025). Decentralized Data Integrity: Integrating MySQL with Blockchain for Resilient Healthcare Systems. Journal of Mobile Multimedia, 21(02), 275–306. https://doi.org/10.13052/jmm1550-4646.2124

Issue

2025: Vol 21 Iss 2

Section

Articles

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