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Inicio  /  Algorithms  /  Vol: 16 Par: 5 (2023)  /  Artículo
ARTÍCULO
TITULO

A Privacy-Preserving Symptoms Retrieval System with the Aid of Homomorphic Encryption and Private Set Intersection Schemes

Yi-Wei Wang and Ja-Ling Wu    

Resumen

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.

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