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Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks最新文献

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Applicability of WSN and Biometric Models in the Field of Healthcare WSN和生物识别模型在医疗保健领域的适用性
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-5068-7.ch016
Nikhil Sharma, I. Kaushik, B. Bhushan, S. Gautam, A. Khamparia
Health is considered as the most important ingredient in human life. Health is wealth is the most frequent used proverb. A healthy person can perform its entire task with full enthusiasm and great energy and can solve all problems as mind is a powerful weapon, which controls all our functioning. But now due to change in our lifestyles, we are becoming prone to all kinds of health hazards. Due to unhealthy mind, we are not able to perform any tasks. Humans are becoming victims of many diseases and one of the most common reason for our degradation in health is stress. In this chapter, the authors present role of WSN and biometric models such as two factor remote authentication, verifying fingerprint operations for enhancing security, privacy preserving in healthcare, healthcare data by cloud technology with biometric application, and validation built hybrid trust computing perspective for confirmation of contributor profiles in online healthcare data. A comparison table is formulated listing all the advantages and disadvantages of various biometric-based models used in healthcare.
健康被认为是人类生活中最重要的因素。健康就是财富是最常用的谚语。一个健康的人能够以饱满的热情和巨大的能量完成整个任务,并能解决所有的问题,因为思想是一个强大的武器,它控制着我们所有的功能。但是现在由于我们生活方式的改变,我们变得容易受到各种健康危害。由于心理不健康,我们无法完成任何任务。人类正在成为许多疾病的受害者,我们健康状况恶化的最常见原因之一是压力。在本章中,作者介绍了WSN和生物识别模型的作用,如双因素远程认证,验证指纹操作以增强安全性,医疗保健中的隐私保护,云技术与生物识别应用的医疗保健数据,以及验证构建的混合信任计算视角,用于确认在线医疗保健数据中的贡献者配置文件。制定了一个比较表,列出了医疗保健中使用的各种基于生物识别的模型的所有优点和缺点。
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引用次数: 8
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Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks
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