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凯利-普尔塞安全通信和大刀对应分类用于COVID患者数据分析

Ramesh Sekaran¹, Ashok Kumar Munnangi², Manikandan Ramachandran³

¹Department of Computer Science and Engineering, JAIN (Deemed-to-be University), Bangalore, Karnataka, 562112, India.

Scientific reports

|February 7, 2025

概括

新的CPCSC-JCDC方法提高了医疗物联网 (IoMT) 的安全性和数据分类准确性. 这种方法确保了安全的患者数据传输,并提高了医疗保健的效率.

科学领域:

医疗信息学医疗信息学
网络安全网络安全
数据科学数据科学数据科学

背景情况:

医疗物联网 (IoMT) 促进了远程患者监控和数据传输,这在COVID-19流行病等健康危机期间至关重要.
现有的IoMT安全和数据分类方法难以满足医疗保健数据量和敏感性增加的需求.
需要强大的安全性和准确的分类对于防止数据泄露和确保及时的医疗干预至关重要.

研究的目的:

引入一种新的方法,基于凯利-普尔塞密码安全通信的杰克刀相关数据分类 (CPCSC-JCDC),用于安全和准确的IoMT数据处理.
提高IoMT设备向医疗保健提供者传输患者数据的安全性.
提高关键护理决策的患者数据分类的准确性和效率.

主要方法:

患者数据是通过IoMT设备收集的.
数据使用患者的公钥与Cayley-Purser加密系统进行加密,以确保安全传输.
杰克刀相关函数用于将解密的数据分类为紧急或正常情况下.

主要成果:

在数据通信过程中,CPCSC-JCDC方法显著提高了安全水平.
实验结果表明,与现有方法相比,数据分类的准确性得到了提高.
拟议的方法减少了数据分类的时间,优化了医疗保健的响应.

结论:

在IOMT数据管理中,CPCSC-JCDC方法提供了一个安全而准确的解决方案.
改进的数据分类导致患者再入院率降低,患者满意度增加.
这种方法解决了 IoMT 中关键的安全和分类挑战,特别是在流行病情景中具有重要意义.

关键词:

凯利普萨斯加密系统的加密系统医疗保健医疗保健医疗保健医疗保健互联网的医疗东西的互联网.长刀相关性长刀相关性公共钥匙公共钥匙公共钥匙安全级别安全级别

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