Enhancing Healthcare Data Confidentiality through Decentralized TEE Attestation

The integration of digital technologies like the Internet of Medical Things (IoMT) and Electronic Health Records (EHRs) in healthcare has significantly improved patient care. However, this digital transformation brings challenges, particularly regarding the secure computation, privacy and security of sensitive health information. This paper presents a potential solution to these challenges by combining Trusted Execution Environments (TEEs) with a decentralized attestation mechanism. Unlike traditional centralized attestation, the proposed approach leverages blockchain technology to ensure transparency, immutability, and enhanced security. This research outlines the benefits, discusses potential threats to validity, and suggests future work to further secure healthcare data processing, ultimately aiming to create a more robust and resilient system for protecting sensitive patient information.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/csr61664.2024.10679402
Citations
1
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
1.13
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Enhancing Healthcare Data Confidentiality through Decentralized TEE Attestation

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Enhancing Healthcare Data Confidentiality through Decentralized TEE Attestation

Federica Uccello, Teresa Mannarino, Salvatore D’Antonio, Giovanni Mazzeo, Jonah Giglio
article en
1 citations

Abstract

The integration of digital technologies like the Internet of Medical Things (IoMT) and Electronic Health Records (EHRs) in healthcare has significantly improved patient care. However, this digital transformation brings challenges, particularly regarding the secure computation, privacy and security of sensitive health information. This paper presents a potential solution to these challenges by combining Trusted Execution Environments (TEEs) with a decentralized attestation mechanism. Unlike traditional centralized attestation, the proposed approach leverages blockchain technology to ensure transparency, immutability, and enhanced security. This research outlines the benefits, discusses potential threats to validity, and suggests future work to further secure healthcare data processing, ultimately aiming to create a more robust and resilient system for protecting sensitive patient information.

Parthenope University of Naples (IT), University of Naples Federico II (IT)
Reduced inequalities
Openalex Percentile: Top 17%
Privacy, Security, and Data Protection
1.13
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