@inproceedings{01750bdce3534cc2897786e96c6d0187,
title = "AegisBlock: A Privacy-Preserving Medical Research Framework Using Blockchain",
abstract = "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.",
keywords = "Blockchain, Data Sharing, Medical Research",
author = "Calkin Garg and Cruz, \{Omar Rios\} and Andersen, \{Tessa E.\} and Dagher, \{Gaby G.\} and Donald Winiecki and Min Long",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Conference on Trust, Privacy, and Security in Intelligent Systems and Applications, IEEE TPS 2025 ; Conference date: 11-11-2025 Through 14-11-2025",
year = "2025",
doi = "10.1109/TPS-ISA67132.2025.00060",
language = "English",
series = "Proceedings - 2025 IEEE 7th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, TPS-ISA 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "500--508",
booktitle = "Proceedings - 2025 IEEE 7th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, TPS-ISA 2025",
address = "United States",
}