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首页> 外文期刊>Journal of medical systems >A Secure Cloud-Assisted Wireless Body Area Network in Mobile Emergency Medical Care System
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A Secure Cloud-Assisted Wireless Body Area Network in Mobile Emergency Medical Care System

机译:移动急诊医疗系统中的安全云辅助无线人体局域网

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摘要

Recent advances in medical treatment and emergency applications, the need of integrating wireless body area network (WBAN) with cloud computing can be motivated by providing useful and real time information about patients' health state to the doctors and emergency staffs. WBAN is a set of body sensors carried by the patient to collect and transmit numerous health items to medical clouds via wireless and public communication channels. Therefore, a cloud-assisted WBAN facilitates response in case of emergency which can save patients' lives. Since the patient's data is sensitive and private, it is important to provide strong security and protection on the patient's medical data over public and insecure communication channels. In this paper, we address the challenge of participant authentication in mobile emergency medical care systems for patients supervision and propose a secure cloud-assisted architecture for accessing and monitoring health items collected by WBAN. For ensuring a high level of security and providing a mutual authentication property, chaotic maps based authentication and key agreement mechanisms are designed according to the concept of Diffie-Hellman key exchange, which depends on the CMBDLP and CMBDHP problems. Security and performance analyses show how the proposed system guaranteed the patient privacy and the system confidentiality of sensitive medical data while preserving the low computation property in medical treatment and remote medical monitoring.
机译:在医疗和急诊应用的最新进展中,可以通过向医生和急救人员提供有关患者健康状况的有用且实时的信息来激发将无线体域网(WBAN)与云计算集成的需求。 WBAN是由患者携带的一组身体传感器,用于通过无线和公共通信渠道收集大量健康项目并将其传输到医疗云。因此,借助云辅助的WBAN可以在紧急情况下促进响应,从而可以挽救患者的生命。由于患者的数据是敏感和私人的,因此通过公共和不安全的通信渠道为患者的医学数据提供强大的安全性和保护非常重要。在本文中,我们解决了用于患者监护的移动紧急医疗系统中参与者身份验证的挑战,并提出了一种安全的云辅助架构,用于访问和监视WBAN收集的健康项目。为了确保高级别的安全性并提供相互的身份验证属性,根据Diffie-Hellman密钥交换的概念设计了基于混沌映射的身份验证和密钥协商机制,该机制依赖于CMBDLP和CMBDHP问题。安全性和性能分析表明,所提出的系统如何在保证医疗和远程医疗监控的低计算性能的同时,确保患者隐私和敏感医疗数据的系统机密性。

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