基于生物识别方法的安全电子医疗系统

Amal Fadhil Mohammed, Hayder A. Nahi, Akmam Majed Mosa, I. Kadhim
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引用次数: 1

摘要

通过保持数据真实性和隐私性,安全的电子医疗保健系统令人满意。真正的用户只能访问和编辑医疗记录,对医疗记录的任何更改都可能导致误诊,从而损害患者的生命。为了实现这一目标,采用了离散小波变换(DWT)、离散傅立叶变换(DFT)、离散余弦变换(DCT)和最小有效位(LSB)等生物识别方法和水印模式。本文研究了一种将发送者的虹膜编码编程为发送者身份验证密钥的生物特征水印系统。采用异或算法对患者信息进行加密,并将密钥嵌入到DCT图像中,从而保证了患者信息的保密性。该算法已得到验证,表明系统满足了早先的约束条件。我们使用具有PSNR值、嵌入时间和提取时间的原始水印图像样本,最低嵌入时间为0.0709,PSNR值为49.2369。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure E-healthcare System Based on Biometric Approach
A secure E-health care system is satisfying by maintaining data authenticity and privacy. Authentic users only access and edit medical records, any alteration in the medical records may result in a misdiagnosis and, as a result, harm the patient's life. Biometric method and watermarking modes are utilized to satisfy goal, such as Discrete Wavelet Transform (DWT), Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT) and Least Significant Bit (LSB). In this work focused on a biometric watermarking system where the iris code of the sender programmed as a sender authentication key. The confidentiality of the patient information is safeguarded via encrypting it with an XOR algorithm and embedding the key in the DCT image. The algorithm has demonstrated which is suggested system has met earlier constraints. We used samples of original watermarked images with PSNR value, embedding time and extraction time, the lowest embedding time was 0.0709 and the PSNR value was 49.2369.
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