计算机安全
计算机科学
医疗保健
转化式学习
互联网
物联网
工作(物理)
信息物理系统
钥匙(锁)
风险分析(工程)
业务
万维网
工程类
经济增长
机械工程
教育学
操作系统
心理学
经济
作者
Ankita Sarkar,Mansi Jhamb
标识
DOI:10.1088/2631-8695/ad5269
摘要
Abstract The incorporation of Internet of Things (IoT) technology into healthcare has introduced vulnerabilities within medical devices, thereby posing noteworthy risks to both patient safety and the inclusive integrity of healthcare systems. This contribution addresses the security concern of health care monitoring system. The STM32BL-475E IoT node along with its sensors provides a greener way to monitor health remotely with data privacy, along with this many such applications can be containerized to enable multiuser application in virtual set up. This paper proposes a methodology of dynamic key generation highlighting the potential for transformative healthcare advancements. The proposed work provides an improved avalanche effect of 51.6%, minimal RAM utilization of 3.49% and a randomness of 2^128 times which is very unpredictable to detect. This paper aims to integrate these technologies to create a resilient health monitoring framework with greater data indemnity. The integration of artificial intelligence with the proposed design is reserved as future work.
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