基于云的人体健康监测系统多维认证与安全框架

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Narahari Narasimhaiah, R. Sam
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引用次数: 2

摘要

医疗监控系统已成为最重要的系统之一,并且在过去十年中已成为以技术为导向的系统。人们面临着因各种疾病而导致的不必要的死亡危机,因为没有在最合适的时间对病人进行医疗护理。我们的目标是为基于云的医疗保健系统开发应用程序。网络攻击是基于云的卫生保健控制面临的主要挑战。在医疗保健监控领域,最严重的问题是拒绝服务、节点故障、节点之间的交通堵塞和恶意攻击。方法为应对上述挑战,提出了基于云的人体健康监测系统的安全架构。首先,提出了一种新的多维身份验证设计方法,该方法为数据提供了安全的身份验证,可以防止未经授权的人入侵。结果为安全可靠的患者健康监测提供了一种有效的、单一的新的稳态Pawn检测和控制论安全框架。因此,为了提高雾计算的可扩展性,建议使用隐藏滴检测来阻止入侵者获取雾中的信息。综上所述,通过在单一框架内使用上述技术,可以预防医疗保健系统中的主要数据风险,并且基于云的健康监测系统可以更有效地监测患者的健康状况,从而及时保存人的生命。临床试验背景:医疗监测系统已经成为最重要的系统之一,并且在过去的十年中已经变得以技术为导向。人们面临着因各种疾病而导致的不必要的死亡危机,因为没有在最合适的时间对病人进行医疗护理。我们的目标是为基于云的医疗保健系统开发应用程序。目的:网络攻击是基于云的医疗控制面临的主要挑战。在医疗保健监控领域,最严重的问题是拒绝服务、节点故障、节点之间的交通堵塞和恶意攻击。方法:为了应对上述挑战,本文提出了一种基于云的人体健康监测系统的安全架构。首先,提出了一种新的多维身份验证设计方法,该方法为数据提供了安全的身份验证,可以防止未经授权的人入侵。结果:为安全可靠的患者健康监测提供了一种有效的、单一的新的稳态Pawn检测和控制论安全框架。因此,为了提高雾计算的可扩展性,建议使用隐藏滴检测来阻止入侵者获取雾中的信息。因此,通过在单一框架中使用上述所有技术,可以防止医疗保健系统中的主要数据风险,并且基于云的健康监测系统需要更有效地监测患者的健康状况,从而及时保护人类的生命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multidimensional Authentication and Secure Framework for Cloud-Based Human Health Monitoring System
BACKGROUND Healthcare monitoring systems have emerged as one of the most vital systems and from the past decade have become technology-oriented. People face an unnecessary mortality crisis due to various diseases owing to lack of medical care for patients at the perfect time. Our goal is to develop the application for cloud based Health Care system. OBJECTIVE Cyber-attacks are the primary challenge for cloud-based control of health care. In that big serious issue in the field of health care monitoring are denial of services, problems with node failure, traffic jams between nodes and malicious attacks. METHODS In order to cope up with above challenges this work has proposed a secure structure for cloud based human health monitoring system. Initially, a novel Multidimensional Authentication design method which therefore provides the data with a secure authentication and can be prevented from intruding an unauthorized person. RESULTS Then provide an effective single new Steadiness Pawn Detection and Cybernetic Security Framework for safe and secure patient health monitoring. As a consequence, Concealment Drip Detection is suggested to improve the scalability in fog computing, which prevents intruders from information in the fog. CONCLUSIONS Therefore, by using all the above techniques in a single framework the major data risks in healthcare systems are prevented and the cloud-based health monitoring system requires more efficient monitoring of the patient's health status, thereby preserving human life on time. CLINICALTRIAL Background: Healthcare monitoring systems have emerged as one of the most vital systems and from the past decade have become technology-oriented. People face an unnecessary mortality crisis due to various diseases owing to lack of medical care for patients at the perfect time. Our goal is to develop the application for cloud based Health Care system. Objective: Cyber-attacks are the primary challenge for cloud-based control of health care. In that big serious issue in the field of health care monitoring are denial of services, problems with node failure, traffic jams between nodes and malicious attacks. Methods: In order to cope up with above challenges this work has proposed a secure structure for cloud based human health monitoring system. Initially, a novel Multidimensional Authentication design method which therefore provides the data with a secure authentication and can be prevented from intruding an unauthorized person. Results: Then provide an effective single new Steadiness Pawn Detection and Cybernetic Security Framework for safe and secure patient health monitoring. As a consequence, Concealment Drip Detection is suggested to improve the scalability in fog computing, which prevents intruders from information in the fog. Therefore, by using all the above techniques in a single framework the major data risks in healthcare systems are prevented and the cloud-based health monitoring system requires more efficient monitoring of the patient's health status, thereby preserving human life on time.
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来源期刊
Ad Hoc & Sensor Wireless Networks
Ad Hoc & Sensor Wireless Networks 工程技术-电信学
CiteScore
2.00
自引率
44.40%
发文量
0
审稿时长
8 months
期刊介绍: Ad Hoc & Sensor Wireless Networks seeks to provide an opportunity for researchers from computer science, engineering and mathematical backgrounds to disseminate and exchange knowledge in the rapidly emerging field of ad hoc and sensor wireless networks. It will comprehensively cover physical, data-link, network and transport layers, as well as application, security, simulation and power management issues in sensor, local area, satellite, vehicular, personal, and mobile ad hoc networks.
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