Implementing a secure remote patient monitoring system

Othmane Nait Hamoud, Tayeb Kenaza, Y. Challal, Lina Ben-Abdelatif, Maroua Ouaked
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引用次数: 2

Abstract

ABSTRACT Remote patient monitoring (RPM) system is an efficient technology that allows reducing healthcare costs and contamination risks, especially in the context of a pandemic. However, security and data privacy are the major challenges that hinder the development of such technology. A secure RPM system should satisfy several security requirements such as authentication, confidentiality, and access control. Public Key Infrastructure (PKI) is one of the main widely-used key management schemes. Unfortunately, in an e-Health system supporting constrained devices, PKI suffers from some issues related to the burden of certificate management (e.g., revocation, storage, and distribution) and the computational cost of certification verification. In this paper, we present our contribution to the development of a secure RPM system. Our security solution is based on Certificate-less Public Key Cryptography (CL-PKC) which ensures a dynamic solution for securing communications between patient devices and the e-Health services core. The proposed solution provides secure authentication and key agreement protocol to establish secret session keys. These keys are used for secure exchanging real-time electronic health records (EHR). To evaluate our approach, we conducted both simulation and real experiments. The security and performance analysis show that our approach is secure and effective while being easy to implement on resource-constrained devices with a low computational cost.
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实施安全的远程病人监护系统
远程患者监测(RPM)系统是一种有效的技术,可以降低医疗成本和污染风险,特别是在大流行的背景下。然而,安全和数据隐私是阻碍这种技术发展的主要挑战。一个安全的RPM系统应该满足几个安全需求,比如身份验证、机密性和访问控制。公钥基础设施(Public Key Infrastructure, PKI)是目前广泛使用的主要密钥管理方案之一。不幸的是,在支持受限设备的电子健康系统中,PKI面临着一些与证书管理负担(例如,撤销、存储和分发)和证书验证的计算成本相关的问题。在本文中,我们介绍了我们对安全RPM系统开发的贡献。我们的安全解决方案基于无证书公钥加密(CL-PKC),确保了患者设备与电子健康服务核心之间通信的动态解决方案。该方案提供了安全认证和密钥协商协议来建立秘密会话密钥。这些密钥用于安全交换实时电子健康记录(EHR)。为了评估我们的方法,我们进行了模拟和真实实验。安全性和性能分析表明,我们的方法是安全有效的,同时易于在资源受限的设备上实现,计算成本低。
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