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Blockchain-enabled verification of medical records using soul-bound tokens and cloud computing
Puneeta Singh1, Shrddha Sagar1, Sofia Singh2
1School of Computer Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India.
This study introduces a blockchain-based system using Soul-bound tokens (SBTs) to securely and efficiently verify medical documents. This approach reduces fraud and speeds up the verification process, enhancing data integrity.
Area of Science:
- Computer Science
- Information Security
- Medical Informatics
Background:
- Medical document verification is crucial but often relies on inefficient centralized databases.
- Manual validation processes are time-consuming and prone to errors and fraud.
- Existing systems lack robust security and efficiency in handling sensitive medical records.
Purpose of the Study:
- To develop a novel blockchain-based mechanism for automatic authentication and verification of medical records.
- To leverage Soul-bound tokens (SBTs) for secure and immutable credentialing.
- To enhance the efficiency and reduce the cost of medical document verification.
Main Methods:
- Implementation of a blockchain network for decentralized data storage.
- Utilization of non-transferable Soul-bound tokens (SBTs) for unique record authentication.
- Integration of cloud computing for efficient data access and retrieval.
- Application of deep learning algorithms for resource optimization in the distributed network.
Main Results:
- The proposed system offers a secure and unbreakable method for authenticating medical records via encrypted codes.
- Reduced verification times are achieved through decentralized database access via cloud computing.
- Blockchain technology adoption leads to decreased platform costs and optimized resource allocation.
- Significant improvements in fraud reduction and overall process efficiency were demonstrated.
Conclusions:
- The blockchain-based SBT system provides a scalable and efficient solution for medical record verification.
- The integration of SBTs, cloud computing, and deep learning enhances security, speed, and cost-effectiveness.
- Future research should explore the system's scalability and applicability in other industries.
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