Internet of Things (IoT) and cyber-physical systems demand proper real-time data processing and analysis to fulfill the essential characteristics of seamless computing services such as less processing time, dynamic network management, and location awareness. With the evolution of mobile edge computing, numerous security and privacy issues have been addressed including policy management, authentication, access control, and confidentiality. The technologies such as big-data, Internet of Things, and cloud have improved the development of modern healthcare systems to improve the quality of medical services. It is nowadays integrating the computing methods and communication technologies such as wireless sensor networks, radio frequency identification, smartphones, and location awareness to collect and analyze the physiological data of the patient. The e-Health entities such as medical device, client, and server rely on analytical models to carry out early diagnosis and remote monitoring. As it is based on e-Health applications, a real-time healthcare system is preferred to integrate with mobile cloud computing. Since the medical data are hugely exposed to vulnerabilities, a lightweight privacy-aware secure authentication (LPASA) scheme is presented. To achieve better secure efficiencies, this article is preferable to use lightweight cryptographic operations, namely, one-way hashing function and bitwise exclusive-OR. Moreover, the formal and informal security analysis shows that the proposed LPASA can withstand the possible active and passive attacks such as replay, man-in-the-middle, privileged-insider, online-guessing, and so forth. The experimental analysis demonstrates that the proposed LPASA scheme achieves a better quality of services in terms of packet delivery ratio, energy consumption per data delivery bit, and percentage of packets with low latency to adopt in resource-constrained environments.

中文翻译：

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面向边缘智能时代信息物理系统的轻量级隐私感知安全认证方案

物联网 (IoT) 和网络物理系统需要适当的实时数据处理和分析，以实现无缝计算服务的基本特征，例如更少的处理时间、动态网络管理和位置感知。随着移动边缘计算的发展，已经解决了许多安全和隐私问题，包括策略管理、身份验证、访问控制和机密性。大数据、物联网、云等技术促进了现代医疗体系的发展，提高了医疗服务质量。如今，它正在融合无线传感器网络、射频识别、智能手机和位置感知等计算方法和通信技术来收集和分析患者的生理数据。医疗设备、客户端、服务器等e-Health实体依靠分析模型进行早期诊断和远程监控。由于它基于电子健康应用程序，因此首选实时医疗保健系统与移动云计算集成。由于医疗数据存在大量漏洞，因此提出了一种轻量级的隐私感知安全认证（LPASA）方案。为了获得更好的安全效率，本文更倾向于使用轻量级的密码操作，即单向哈希函数和按位异或。此外，正式和非正式的安全分析表明，所提出的 LPASA 可以抵御可能的主动和被动攻击，如重放、中间人、特权内部人员、在线猜测等。