A Privacy-Preserving Symptoms Retrieval System with the Aid of Homomorphic Encryption and Private Set Intersection Schemes
Journal
Algorithms
Journal Volume
16
Journal Issue
5
Date Issued
2023-05-01
Author(s)
Wang, Yi Wei
Abstract
This work presents an efficient and effective system allowing hospitals to share patients’ private information while ensuring that each hospital database’s medical records will not be leaked; moreover, the privacy of patients who access the data will also be protected. We assume that the thread model of the hospital’s security is semi-honest (i.e., curious but honest), and each hospital hired a trusted medical records department administrator to manage patients’ private information from other hospitals. With the help of Homomorphic Encryption- and Private Set Intersection -related algorithms, our proposed system protects patient privacy, allows physicians to obtain patient information across hospitals, and prevents threats such as troublesome insider attacks and man-in-the-middle attacks.
Subjects
digital signature | homomorphic encryption | medical records | private set intersection | system security analysis
SDGs
Publisher
MDPI
Type
journal article