International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Online Anonymous Medical Service System Using Blockchain |
|---|---|
| ABSTRACT | Contemporary telemedicine platforms require patients to register with personal credentials — names, phone numbers, and email addresses — stored on centralized servers that remain exposed to data breaches and regulatory compulsion. This creates a structural privacy gap that discourages patients with sensitive conditions from seeking timely medical care. To overcome these limitations, this study presents an Online Anonymous Medical Service System built on the Solana blockchain that eliminates this gap through three coordinated mechanisms: wallet-only identity, client-side AES encryption, and on-chain consultation state maintained through Anchor Program Derived Accounts (PDAs). Patients connect a Phantom wallet on Solana Devnet and use their cryptographic public key as their sole system identity. Before any network transmission, medical reports are encrypted in the browser using AES symmetric encryption, ensuring that neither the storage network nor the service provider ever receives plaintext patient data. Encrypted ciphertexts are uploaded to the InterPlanetary File System (IPFS) via the Pinata pinning service. An Anchor smart contract maintains PDAs recording only the consultation ID, encrypted report CID, payment verification status, and encrypted prescription CID — with no personal identifiers at any system layer. Consultation fees are paid in Devnet SOL through Phantom and verified on-chain, doctors interact through an anonymous dashboard, and patients retrieve and locally decrypt prescriptions in the browser so that decryption keys never leave the patient device. Experimental results demonstrate successful end-to-end anonymous consultation flows, on-chain payment confirmation, multi-consultation tracking, and local decryption of prescriptions. The system satisfies a weak-fairness property: either both patient and doctor receive their expected deliverable, or neither does, with the blockchain providing an immutable audit trail. |
| AUTHOR | JANAMONI SHYAMALA, DR. M. DHANALAKSHMI Post Graduate Student, Department of Computer Science and Engineering(CNIS), Jawaharlal Nehru Technological University, Hyderabad, India Professor, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad, India |
| VOLUME | 186 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1407052 |
| pdf/52_Online Anonymous Medical Service System Using Blockchain.pdf | |
| KEYWORDS | |
| References | 1. S. Baranski, J. Szymanski, and H. Mora, “Anonymous provision of privacy-sensitive services using blockchain and decentralised storage,” International Journal of Information Security, vol. 24, 130, 2025. 2. R. AlTawy, M. ElSheikh, A. M. Youssef, and G. Gong, “Lelantos: A Blockchain-Based Anonymous Physical Delivery System,” in Proc. 15th Annual Conference on Privacy, Security and Trust (PST), pp. 15–1 to 15–9, 2017. 3. M. F. Hinarejos, J.-L. Ferrer-Gomila, and L. Huguet-Rotger, “A solution for secure certified electronic mail using blockchain as a secure message board,” IEEE Access, vol. 7, pp. 31330–31341, 2019. 4. H. Meng, E. Bian, and C. Tang, “Themis: Towards decentralized escrow of cryptocurrencies without trusted third parties,” in Proc. 6th International Conference on Software Defined Systems (SDS), pp. 266–271, 2019. 5. H. Jin, Y. Luo, P. Li, and J. Mathew, “A review of secure and privacy-preserving medical data sharing,” IEEE Access, vol. 7, pp. 61656–61669, 2019. 6. I. Keshta and A. Odeh, “Security and privacy of electronic health records: Concerns and challenges,” Egyptian Informatics Journal, vol. 22, no. 2, pp. 177–183, 2021. 7. V. S. Naresh and M. Thamarai, “Privacy-preserving data mining and machine learning in healthcare,” WIREs Data Mining and Knowledge Discovery, vol. 13, no. 2, e1490, 2023. 8. J. Benet, “IPFS – Content Addressed, Versioned, P2P File System,” arXiv:1407.3561, 2014. 9. Protocol Labs, “Filecoin: A Decentralized Storage Network,” Technical Whitepaper, 2017. 10. D. J. Solove, “A taxonomy of privacy,” University of Pennsylvania Law Review, vol. 154, no. 3, pp. 477–564, 2006. 11. L. Sweeney, “k-anonymity: A model for protecting privacy,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 10, no. 5, pp. 557–570, 2002. 12. K. J. Black, S. K. Barton, and J. S. Perlmutter, “Presymptomatic testing and confidentiality in the age of the electronic medical record,” Journal of Neuropsychiatry and Clinical Neurosciences, vol. 33, no. 1, pp. 80–83, 2021. |
