AegisBlock: A Privacy-Preserving Medical Research Framework using Blockchain
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866918125914554368 |
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| author | Garg, Calkin Cruz, Omar Rios Andersen, Tessa Dagher, Gaby G. Winiecki, Donald Long, Min |
| author_facet | Garg, Calkin Cruz, Omar Rios Andersen, Tessa Dagher, Gaby G. Winiecki, Donald Long, Min |
| contents | Due to HIPAA and other privacy regulations, it is imperative to maintain patient privacy while conducting research on patient health records. In this paper, we propose AegisBlock, a patient-centric access controlled framework to share medical records with researchers such that the anonymity of the patient is maintained while ensuring the trustworthiness of the data provided to researchers. AegisBlock allows for patients to provide access to their medical data, verified by miners. A researcher submits a time-based range query to request access to records from a certain patient, and upon patient approval, access will be granted. Our experimental evaluation results show that AegisBlock is scalable with respect to the number of patients and hospitals in the system, and efficient with up to 50% of malicious miners. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_11797 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AegisBlock: A Privacy-Preserving Medical Research Framework using Blockchain Garg, Calkin Cruz, Omar Rios Andersen, Tessa Dagher, Gaby G. Winiecki, Donald Long, Min Cryptography and Security Databases Distributed, Parallel, and Cluster Computing Due to HIPAA and other privacy regulations, it is imperative to maintain patient privacy while conducting research on patient health records. In this paper, we propose AegisBlock, a patient-centric access controlled framework to share medical records with researchers such that the anonymity of the patient is maintained while ensuring the trustworthiness of the data provided to researchers. AegisBlock allows for patients to provide access to their medical data, verified by miners. A researcher submits a time-based range query to request access to records from a certain patient, and upon patient approval, access will be granted. Our experimental evaluation results show that AegisBlock is scalable with respect to the number of patients and hospitals in the system, and efficient with up to 50% of malicious miners. |
| title | AegisBlock: A Privacy-Preserving Medical Research Framework using Blockchain |
| topic | Cryptography and Security Databases Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2508.11797 |