Analysis of security and privacy challenges of smart health and sensing systems

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY
Vimal Bibhu , Anand Kumar Shukla , Basu Dev Shivahare , Jatinder Kaur , Mohd Shukri , Ab Yajid Johar MGM , Ayham Sameer Faaq , Mohammed Kareem AlShujairi , Shatrudhan Pandey
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引用次数: 0

Abstract

The sensor, as the primary element, is regarded as playing a crucial role in smart health systems. Various parameters of human health are capable of being sensed by it. The integration of medical and biosensors with wireless or wired communication networks is recognized as a key feature of smart health services. However, one of the major challenges faced by this system is the security and privacy of patient health data, which is considered vulnerable to local intruders and cyber attackers. In this paper, a comprehensive analysis of the security threats and privacy issues associated with different smart health systems developed by researchers is presented. A detailed discussion about the various threats that can lead to the disclosure of patient-sensitive health data from the sensor to the communication network is delved into. Additionally, an analytical summary and requirements to eliminate the threats of smart health and sensing systems are proposed. An analysis of many smart health technologies based on the sensing system that monitors patient health in real time is included in the analytical summary. Security and privacy requirements for the smart health sensing system are also recommended, with an integrated security framework being applied to ensure the robustness and efficiency of the health management and monitoring system.
智能健康和传感系统的安全和隐私挑战分析
传感器作为主要元素,被认为在智能卫生系统中起着至关重要的作用。人体健康的各种参数能够被它感知。医学和生物传感器与无线或有线通信网络的集成被认为是智能卫生服务的一个关键特征。然而,该系统面临的主要挑战之一是患者健康数据的安全性和隐私性,这被认为容易受到本地入侵者和网络攻击者的攻击。本文对研究人员开发的不同智能医疗系统相关的安全威胁和隐私问题进行了全面分析。详细讨论了可能导致从传感器向通信网络泄露患者敏感健康数据的各种威胁。此外,还提出了消除智能健康和传感系统威胁的分析总结和要求。分析摘要中包含了基于实时监测患者健康的传感系统的许多智能健康技术的分析。还建议了智能健康传感系统的安全和隐私要求,并应用了综合安全框架,以确保健康管理和监测系统的健壮性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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