在医疗保健物联网中的自适应多因素身份验证的数据分类
Tance Suleski1, Mohiuddin Ahmed1
1School of Science, Edith Cowan University, Perth, Australia.
Journal of medical Internet research
|July 25, 2023
概括
医疗保健物联网 (IoHT) 由于身份验证薄弱而面临安全风险. 提出了自适应多因素身份验证 (AMFA),支持一个新的数据模型分类法,以增强IoHT安全性.
科学领域:
- 医疗保健中的网络安全
- 医疗保健物联网 (IoHT) 的互联网
- 数据架构和数据管理
背景情况:
- 医疗保健行业越来越数字化,医疗保健物联网 (IoHT) 设备提供可扩展,具有成本效益的远程服务.
- 然而,IoHT的快速部署往往忽视了安全性,导致网络犯罪分子利用的漏洞,特别是在COVID-19大流行期间.
- 软弱的密码管理和IoHT系统中缺乏多因素认证导致了大量的数据泄露和财务损失.
结论:
- 结构化数据分类对于理解和改进现代IoHT系统中的用户身份验证至关重要.
- 拟议的数据模型框架支持AMFA的自动化,提高医疗保健用户和设备的安全性.
- 解决IoHT数据架构和安全要求对于减轻网络威胁和确保远程医疗机构数据隐私至关重要.
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