Security Design Analysis of Attribute-Based Encryption with Homomorphic Overlays for Secure and Fine-Grained Access Control of Patient Lab Results in Cloud-Based Healthcare Systems

Attribute-based encryption (ABE) and homomorphic overlays to develop a secure and fine-grained access control system for safeguarding patient lab results in cloud-based healthcare. The system effectively addresses the critical need to balance data privacy and authorized data analysis within the cloud environment. In healthcare, fine-grained access control is paramount for protecting sensitive patient information, an aspect often overlooked by traditional methods. This paper proposes a system that overcomes this challenge by leveraging ABE to enable attribute-based access control, ensuring that only authorized users possessing specific attributes can decrypt patient data. Furthermore, homomorphic overlays allow for computations on encrypted data, empowering authorized users to perform analyses without requiring access to the underlying information. This innovative approach promotes data privacy while permitting authorized data analysis within the cloud.

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Published
2024-09-13
DOI
https://doi.org/10.1109/icacte62428.2024.10871293
Primary Topic
Cloud Data Security Solutions
Type
article
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article

Security Design Analysis of Attribute-Based Encryption with Homomorphic Overlays for Secure and Fine-Grained Access Control of Patient Lab Results in Cloud-Based Healthcare Systems

Mary Jane C. Samonte, Amiel Heart S. Calpo, Maria Ellaine C. Colot, Carnette Alexis P. Mirafuentes
Cloud Data Security Solutions
article

Security Design Analysis of Attribute-Based Encryption with Homomorphic Overlays for Secure and Fine-Grained Access Control of Patient Lab Results in Cloud-Based Healthcare Systems

Mary Jane C. Samonte, Amiel Heart S. Calpo, Maria Ellaine C. Colot, Carnette Alexis P. Mirafuentes
article en

Abstract

Attribute-based encryption (ABE) and homomorphic overlays to develop a secure and fine-grained access control system for safeguarding patient lab results in cloud-based healthcare. The system effectively addresses the critical need to balance data privacy and authorized data analysis within the cloud environment. In healthcare, fine-grained access control is paramount for protecting sensitive patient information, an aspect often overlooked by traditional methods. This paper proposes a system that overcomes this challenge by leveraging ABE to enable attribute-based access control, ensuring that only authorized users possessing specific attributes can decrypt patient data. Furthermore, homomorphic overlays allow for computations on encrypted data, empowering authorized users to perform analyses without requiring access to the underlying information. This innovative approach promotes data privacy while permitting authorized data analysis within the cloud.

Mapúa University (PH)
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Cloud Data Security Solutions
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