Vol. 4 No. 1 (2026): Issue - 01
Articles

Secure and Transparent Blockchain-Enabled System for Pharmaceutical Drug Authentication

B. Jaya Vijaya
Department of CSE (IoT, Cyber Security including Block Chain Technology), Annamacharya Institute of Technology & Sciences (Autonomous), Tirupati, A.P, India.
D Chandrasekhar
Department of CSE (IoT, Cyber Security including Block Chain Technology), Annamacharya Institute of Technology & Sciences (Autonomous), Tirupati, A.P, India.
D Srihari
Department of CSE (IoT, Cyber Security including Block Chain Technology), Annamacharya Institute of Technology & Sciences (Autonomous), Tirupati, A.P, India.
B Padmasai
Department of CSE (IoT, Cyber Security including Block Chain Technology), Annamacharya Institute of Technology & Sciences (Autonomous), Tirupati, A.P, India.
M Harsha Vardhan
Department of CSE (IoT, Cyber Security including Block Chain Technology), Annamacharya Institute of Technology & Sciences (Autonomous), Tirupati, A.P, India.
A Sriram
Department of CSE (IoT, Cyber Security including Block Chain Technology), Annamacharya Institute of Technology & Sciences (Autonomous), Tirupati, A.P, India.

Published 2026-02-10

Keywords

  • Blockchain,
  • Pharmaceutical Supply Chain,
  • Drug Authentication,
  • Counterfeit Drug Prevention,
  • QR Code Verification,
  • Traceability,
  • Decentralized Ledger
  • ...More
    Less

How to Cite

B. Jaya Vijaya, D Chandrasekhar, D Srihari, B Padmasai, M Harsha Vardhan, & A Sriram. (2026). Secure and Transparent Blockchain-Enabled System for Pharmaceutical Drug Authentication. Milestone Transactions on Medical Technometrics, 4(1), 312–323. https://doi.org/10.5281/zenodo.18597960

Abstract

Counterfeit drugs are an extremely critical issue that affects global public health, economic security, and trust in government regulations. The existing drug management systems are mainly centralized and opaque, with little data integrity, and are easily susceptible to data manipulation. We present a secure, transparent, blockchain-enabled framework for pharmaceutical drug authentication and end-to-end supply chain verification. The proposed system takes advantage of the decentralized, immutable, and tamper-resistant nature of blockchain technology in recording and validating critical supply chain activities, which include manufacturer registration, distributor verification, pharmacy validation, and administrative approval. A unique QR code is generated for each drug product, which serves as the drug product's digital identity and helps ensure traceability and authenticity verification for the end consumer. The proposed system has been implemented using the Django web application framework, which has an integrated custom blockchain architecture that utilizes SHA-256 to ensure data integrity and prevent unauthorized tampering with records. Based on the experimental results, 100% integrity validation of the blockchain technology has been achieved, along with accurate detection of any attempted tampering, efficient transaction processing, and verification using the QR code technology with minimal response time. It has been observed that the proposed framework is effective for ensuring the traceability of the drug product, building trust among the various stakeholders, and fighting the menace of counterfeit medicines without the need for any central authority.

References

  1. Bonsalin, M. B., Dhavamani, V., & Faisal, M. M. (2025). Drug supply chain integrity using QR code with blockchain-powered verification. International Journal for Research in Applied Science & Engineering Technology, 13(7).
  2. Renushe, H. N., Jadhav, A. A., Lokare, S. P., Kadam, V. R., Braganza, A. I., Chavan, V., Jadhav, D. Y., & Patil, V. V. (2025). Securing pharmaceutical supply chains: A QR code approach to counterfeit drug prevention. Journal of Neonatal Surgery, 14(9S), 583–585.
  3. Amin, M., Akhtar, N., Hoque, M. E., Nabil, A. R., & Hossain, K. M. S. (2025). Blockchain-enabled traceability in pharmaceutical supply chains: An integrated engineering and IT management framework for regulatory compliance and pandemic resilience. Journal of Computer Science and Technology Studies, 7(10), 343–356.
  4. Sai, S. N., Abdul Shakir, S. K., Akbar Basha, S. K., Sekhar, M. C., & Ketha, R. M. (2025). Drug inventory supply chain management using blockchain. International Journal for Research in Applied Science & Engineering Technology, 13.
  5. Surya, N. C., P., A. M., Gowda, A. C., & Raheem, A. (2025). An intelligent drug traceability framework for secure and transparent pharmaceutical supply chain. International Journal for Research in Applied Science & Engineering Technology, 13.
  6. Singh, M. (2025). Blockchain-based drug traceability: An emerging business model. International Journal for Research in Management & Pharmacy, 8(6).
  7. Ahmed, R. H., Hussain, M., Khalil, A., & Zahid, S. (2025). Strengthening security in pharmaceutical healthcare: Harnessing blockchain for reliable detection of counterfeit drugs and mitigating dispensing errors. In Proceedings of the 16th International Conference on Information & Communication Systems (ICICS). IEEE.
  8. IEEE. (2025). A systematic review of blockchain applications in pharmaceutical supply chain traceability and security. IEEE Conference Proceedings.
  9. International Journal of Production Economics. (2025). Blockchain in the pharmaceutical sector: Empirical evidence on the associated challenges and countermeasures. International Journal of Production Economics, 288, 109685.
  10. Blockchain based pharmaceutical supply chain management system. (2025). International Journal of Innovative Science and Research Technology.
  11. Yadav, A. S., Charles, V., Gherman, T., Kumar, V., Pawar, V., & Chaudhary, N. (2025). PharmChain: A data-driven scenario-based drug traceability and regulation blockchain framework. Decision Analytics Journal, 100620.
  12. Aloui, A., Zouai, M., Bourekkache, S., & Kazar, O. (2025). A blockchain-based approach to securing the pharmaceutical supply chain. Fabad Eczacılık Bilimler Dergisi, 50(1), 111–128.
  13. Rajak, D. K., Khanal, B., & Ansari, M. S. A. (2025). Scalable blockchain-based solution for drug tracking in pharmaceutical supply chain. Computers & Industrial Engineering, 111655.
  14. Mishra, R., Ramesh, D., Mohammad, N., & Mondal, B. (2024). Blockchain-enabled secure pharmaceutical supply chain framework with traceability: An efficient searchable Pharmachain approach. Cluster Computing, 27(10), 13621–13641.
  15. Padma, A., & Ramaiah, M. (2024). Blockchain-based solution for secure information sharing in pharma supply chain management. Heliyon, 10(22).
  16. Sharma, N., & Rohilla, R. (2024). A multilevel authentication-based blockchain-powered medicine anti-counterfeiting for reliable IoT supply chain management. The Journal of Supercomputing, 80(4), 4870–4913.
  17. Shruthi, K., & Poornima, A. S. (2024). SafeMeds: A blockchain-driven drug supply chain verification system. In Proceedings of the International Conference on Recent Advances in Science and Engineering Technology (ICRASET) (pp. 1–6).
  18. Dash, S., Ghugar, U., Godavarthi, D., & Mohanty, S. N. (2024). HCSRL: Hyperledger composer system for reducing logistics losses in the pharmaceutical product supply chain using a blockchain-based approach. Scientific Reports, 14(1), 13528.
  19. Bapatla, A. K., Mohanty, S. P., & Kougianos, E. (2024). Pharmachain 3.0: Efficient tracking and tracing of drugs in pharmaceutical supply chain using blockchain-integrated product serialization mechanism. SN Computer Science, 5(1), 149.
  20. Ahmed, S. T., Sivakami, R., Kumar, V. V., Mahesh, T. R., Khan, S. B., Mashat, A., & Almusharraf, A. (2024). PrEGAN: Privacy-Enhanced Clinical EMR Generation: Leveraging GAN Model for Customer De-Identification. IEEE Transactions on Consumer Electronics, 70(3), 6166-6173.
  21. Ahmed, S. T., Fathima, A. S., Mathivanan, S. K., Jayagopal, P., Saif, A., Gupta, S. K., & Sinha, G. (2024). iLIAC: An approach of identifying dissimilar groups on unstructured numerical image dataset using improved agglomerative clustering technique. Multimedia Tools and Applications, 83(39), 86359-86381.
  22. Periasamy, K., Periasamy, S., Velayutham, S., Zhang, Z., Ahmed, S. T., & Jayapalan, A. (2022). A proactive model to predict osteoporosis: An artificial immune system approach. Expert Systems, 39(4), e12708.
  23. Ramaiah, N. S., & Ahmed, S. T. (2022). An IoT-based treatment optimization and priority assignment using machine learning. ECS Transactions, 107(1), 1487.