一个高效的医疗数据加密方案,使用选择性混和内部像素间扩散,实现物联网支持的安全电子医疗框架.
Dhivya Ravichandran1, W Sylvia Lilly Jebarani2, Hemalatha Mahalingam3
1Department of ECE, Mepco Schlenk Engineering College, Sivakasi, 626 005, India. dhivyar@mepcoeng.ac.in.
Scientific reports
|February 3, 2025
概括
这项研究介绍了一种使用Raspberry Pi和一种新型加密技术传输患者健康数据的安全方法. 该系统通过综合混沌系统加密,确保远程医疗应用中的患者数据隐私.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 医疗信息学 医疗信息学
背景情况:
- 电子医疗系统,特别是远程医疗,需要强大的安全性来保护敏感的患者数据.
- 保护电子健康记录 (EHR) 的现有方法可能无法充分解决传输传感器数据和医疗图像的复杂性.
研究的目的:
- 开发和评估一个安全的物联网 (IoT) 系统,用于在远程医疗中传输患者健康数据和医疗图像.
- 实施基于联合混乱系统 (CCS) 的新型加密方案,以提高数据安全性.
主要方法:
- 使用Raspberry Pi 3 B+进行数据采集 (LM35和脉冲传感器) 和加密/解密.
- 开发了一个使用CCS生成混乱密钥序列的文本和医疗图像加密方案.
- 实现了行wise,列wise混动,以及用于图像混的选择性混动.
- 应用比特变换和比特式XOR操作,用于像素内部和像素间的扩散.
- 通过Thing Speak云传输加密数据,并使用Flask网络服务器访问医生.
主要成果:
- 拟议的加密方案有效地混合和扩散医疗图像,创建高度随机的加密图像.
- 安全分析和攻击测试证明了开发的医疗图像加密算法的有效性.
- 该系统成功实现了患者健康参数和医疗图像的安全传输和解密.
结论:
- 开发的物联网实现为远程医疗中的电子健康记录传输提供了安全有效的解决方案.
- 基于Combined Chaotic System的加密方案为各种攻击提供了强大的抵抗力,确保了患者数据的机密性.
- 这种方法提高了远程医疗应用程序的安全性,保护了敏感的患者信息.
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