@inproceedings{d5b78db54932498a8b8b8fa6e0228049,
title = "Cyber Vulnerabilities in Blockchain Electronic Health Records: An In-Depth Threat Analysis",
abstract = "The rapid evolution of information systems and the surge in data generation and dissemination have fostered the emergence of Electronic Health Records (EHRs). Specifically, blockchain-enabled EHRs are revolutionizing modern healthcare by centralizing patient data promoting transparency, accessibility, and interoperability. However, amidst increasing cyberattacks on healthcare institutions, the security of these EHRs is a critical concern. Existing research predominantly focuses on the advantages and disadvantages of incorporating blockchain technology into EHRs, leaving a noticeable gap in analyzing specific threats. Our study bridges this gap by leveraging a hybrid threat modeling methodology, integrating attack tree models with an exhaustive review of existing literature on threats to blockchain-based standardized EHRs. This approach has identified and organized 26 unique threats into an attack tree. Each threat is elaborated upon and discussed within the context of the Blockchain EHRs.",
keywords = "Attack Trees, Blockchain, Electronic Health Records, Threat Modeling",
author = "Marija Brkic and Dinu, {Horia Stefan} and Alida Mirkovic and Alma Sabirovic and Sajjad Khan and Davor Svetinovic",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023 ; Conference date: 14-11-2023 Through 17-11-2023",
year = "2023",
doi = "10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361458",
language = "British English",
series = "2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "784--791",
booktitle = "2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023",
address = "United States",
}