Medical Data Security and Sharing Mechanisms in Cloud Computing Environments

The proliferation of cloud computing has brought new challenges to data security and sharing, especially in the medical field. The sensitivity and complexity of medical data demand higher security standards and fine-grained sharing control. This article explores data security and sharing mechanisms in the cloud computing environment, with a particular focus on the application of key technologies such as searchable encryption, proxy re-encryption, and differential privacy in the protection of medical data. A ciphertext query system model that supports multi-keyword search and dynamic updates is proposed, which is particularly suitable for the medical field to ensure that doctors and researchers can efficiently access and analyze encrypted medical records while protecting patient privacy. In addition, we propose a fine-grained ciphertext sharing system model based on access control, which is crucial for controlling the sharing of medical data to prevent unauthorized access and data breaches. Security analysis and performance evaluation prove the effectiveness of the proposed methods in the protection of medical data. The research in this article provides new solutions for data security and sharing in cloud computing, especially in the application of the medical field.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.04.028
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
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article

Medical Data Security and Sharing Mechanisms in Cloud Computing Environments

Yuhan Zhang
Procedia Computer Science
Privacy-Preserving Technologies in Data
article

Medical Data Security and Sharing Mechanisms in Cloud Computing Environments

Yuhan Zhang
article en

Abstract

The proliferation of cloud computing has brought new challenges to data security and sharing, especially in the medical field. The sensitivity and complexity of medical data demand higher security standards and fine-grained sharing control. This article explores data security and sharing mechanisms in the cloud computing environment, with a particular focus on the application of key technologies such as searchable encryption, proxy re-encryption, and differential privacy in the protection of medical data. A ciphertext query system model that supports multi-keyword search and dynamic updates is proposed, which is particularly suitable for the medical field to ensure that doctors and researchers can efficiently access and analyze encrypted medical records while protecting patient privacy. In addition, we propose a fine-grained ciphertext sharing system model based on access control, which is crucial for controlling the sharing of medical data to prevent unauthorized access and data breaches. Security analysis and performance evaluation prove the effectiveness of the proposed methods in the protection of medical data. The research in this article provides new solutions for data security and sharing in cloud computing, especially in the application of the medical field.

Procedia Computer ScienceVol. 259
Nanjing Medical University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 95%
Privacy-Preserving Technologies in Data
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