CAPM:基于物联网的智能医院的情境感知隐私模型

Salah Zemmoudj, Nabila Bermad, Mawloud Omar
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引用次数: 5

摘要

物联网技术的出现可以将互联的数字可穿戴设备整合到健康领域。在这种背景下,智能医院应运而生,以促进和提高患者的医疗生活质量。然而,对患者个人和健康信息的不受控制的访问可能会破坏智能医院服务的顺利运行。因此,保护患者隐私仍然是一个必须解决的大问题。本文提出了一个上下文感知隐私模型(CAPM)。它旨在确保患者在住院期间的信息交换和共享。为了评估我们的建议的有效性,使用NS3进行了一系列的模拟。实验结果证明了该协议在通信延迟、认证延迟和假名生成时间方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CAPM: Context-Aware Privacy Model for IoT-Based Smart Hospitals
The emergence of IoT technology can integrate connected digital wearable devices in the health field. In this context, the smart hospital is created to facilitate and improve the quality of patient’s medical life. However, uncontrolled access to personal and health information of patients can disrupt the smooth functioning of smart hospital services. Consequently, the protection of patient privacy remains a big issue that must be addressed. In this paper, we propose a Context-Aware Privacy Model (CAPM). It aims to secure the exchanged and shared patient’s information during his hospital stay. To evaluate effectiveness of our proposal, a series of simulations are carried out using NS3. The obtained results demonstrate the efficiency of our protocol in terms of communication delay, Authentication delay, and pseudonym generation time.
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