A Blockchain-Assisted Drug Management and Authentication Scheme in IoMT
With the rapid development of the Internet of Things (IoT), the Internet of Medical Things (IoMT) has significantly improved the intelligence and efficiency of healthcare services. As a crucial component of IoMT, smart drug management facilitates efficient collaboration in drug storage, prescription management, and drug delivery. However, the drug distribution process involves multiple entities and sensitive medical data, posing serious security challenges, including patient privacy leakage, identity forgery, unauthorized access to medicines, and data tampering. To address these challenges, this paper proposes a blockchain-assisted drug management and authentication scheme that integrates identity authentication mechanisms. Using the decentralization, immutability, and traceability features of the blockchain, the proposed scheme ensures the transparency and integrity of drug distribution records. In addition, the authentication and key agreement mechanism establishes a secure communication channel between patients, pharmacies, and delivery personnel, preventing unauthorized access and data leakage. The security of the proposed scheme is formally analyzed using the Real-Or-Random (ROR) model, demonstrating its robustness against common security threats. Performance evaluations indicate that the proposed scheme significantly reduces computational and communication overhead compared to existing schemes, making it a secure and efficient solution for smart drug management in smart healthcare.
Authors
- Shuangshuang Liu (ORCID: https://orcid.org/0000-0002-8949-1437)
- Chien‐Ming Chen (ORCID: https://orcid.org/0000-0002-6502-472X)
- Zhi Wang (ORCID: https://orcid.org/0000-0002-3252-9254)
Institutions
- Nanjing University of Information Science and Technology (CN)
- Nankai University (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-06-09
- DOI
- https://doi.org/10.1109/jiot.2025.3577701
- Citations
- 1
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.49