Agent-based blockchain model for robust authentication and authorization in IoT-based healthcare systems

Idrissi, Hind; Palmieri, Paolo

doi:10.1007/s11227-023-05649-7

Cited by 6 publications

(1 citation statement)

References 21 publications

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“…PoW determines the process by which network nodes agree to add a new block to the blockchain [36]. In PoW systems, nodes use their computational resources to solve mathematical puzzles whose solutions are hard to gure out but simple for others to con rm [37]. The new block is added by the winner, who nds the solution to the puzzle rst.…”

Section: Performance Monitoringmentioning

confidence: 99%

A healthcare data management system: Blockchain enabled IPFS providing algorithmic solution for increased privacy preserving scalability and interoperability

Tiwari,

Kumar

2024

Preprint

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Finding a feasible and effective approach to sharing a large volume of healthcare data has been the focus of recent studies. Several techniques evolved over the years for healthcare data management can be categorized into three distinct categories. The first category mainly focused on deploying the centralized structure utilizing the cloud-based system, however, central system failure, the privacy of the data, and interoperability remain the major concerns of this approach. Later, in the second category, these limitations were addressed by implementing a decentralized system based on blockchain technology. The increased complexity of the healthcare data and the need for the inclusion of medical imaging restricted the scalability and storage efficiency of this decentralized method. Eventually, this led to the development of an integrated approach combining techniques such as InterPlanetary File System (IPFS) with blockchain. Even with the tremendous advancements, challenges like interoperability, scalability, and privacy still exist. This paper primarily focuses on increasing the privacy and security of healthcare data sharing by combining the authentication algorithm with the Elliptic Curve Cryptography (ECC) key exchange keeping the parameters such as interoperability, scalability, and storage efficiency intact. To evaluate the efficacy of the proposed system, performance monitoring along with a novel benchmarking technique was utilized. Also, the proposed system has been compared with the existing frameworks on different parameters such as access control, cryptographic algorithms, decentralized framework, scalability, performance evaluation, benchmarking, etc. The obtained results suggest that the proposed system provides an integrated solution for efficient healthcare data management that is secured, decentralized yet interoperable and scalable.

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Section: Performance Monitoringmentioning

confidence: 99%