Secure health data transmission on IOT

R. Dhivya, Manoj Kumar S, Mathesh J, V. Thanikaiselvan, Hemalatha Mahalingam, Rengarajan Amirtharajan
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Abstract

Data security is essential to the e-healthcare industry for protecting patients' confidential information. It is necessary to continuously monitor the patient's health to give them the proper medical care. The proposed work develops a Raspberry Pi cryptosystem by sending real-time patient health data to the physician via the Thing Speak cloud environment. In order to create the highly random keys for encrypting the color medical images and sensor data (temperature, heartbeat, medical images), this research uses numerous chaotic maps in a single procedure. Firstly, the shuffling algorithm based on a logistic map is designed to shuffle the image pixels randomly. Then, the diffusion algorithm based on circle map is developed to diffuse the shuffled image pixels. The effectiveness of the proposed algorithm is analysed based on MSE (Mean Squared Error), PSNR (Peak Signal-to-Noise), Entropy, Histogram, and correlation is calculated analyses.
在物联网上安全传输健康数据
数据安全对于电子医疗行业保护患者的机密信息至关重要。有必要持续监测病人的健康状况,为他们提供适当的医疗护理。这项提议的工作开发了一个树莓派密码系统,通过Thing Speak云环境向医生发送实时患者健康数据。为了创建用于加密彩色医学图像和传感器数据(温度、心跳、医学图像)的高度随机密钥,本研究在单个程序中使用了大量混沌映射。首先,设计了基于逻辑映射的洗牌算法,对图像像素进行随机洗牌。然后,提出了一种基于圆映射的扩散算法,对洗牌后的图像像素进行扩散。基于MSE(均方误差)、PSNR(峰值信噪比)、熵、直方图和相关性计算分析,分析了该算法的有效性。
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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