Privacy preserving EHR system using attribute-based infrastructure

By S. Narayan, Martin Gagné, Reihaneh Safavi-Naini. Cloud Computing Security Workshop, 2010

327 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Private Predictive Analysis on Encrypted Medical Data (2014, unknown): “In [2], the authors propose using attribute-based encryption to achieve a more flexible and dynamic way to share permissions on selective parts of an EMR.”
Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control (2016, unknown): “[13] proposed a patientcentric and privacy-preserving ABE based access control model; Chen et al.”
Security and privacy in electronic health records: A systematic literature review (2013, methodology): “Of these, 25 articles indicate that the patient should grant access permissions [5,9,27,31,33–36,39,40,44,45,51–56,60,62,69–71,78,79].”
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond (2021, background): “Privacy-preserving approaches, e.g., via federated learning, can allow safe sharing of data or models across cloud providers [105].”
A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds (2014, background): “The approaches presented in [46], [53], and [54] allow searching over the encrypted EHRs.”