Secured Medical Images - a Chaotic Pixel Scrambling Approach

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• 作者：M. Y. Mohamed Parvees ; J. Abdul Samath ; B. Parameswaran Bose
• 关键词：Patient privacy ; Encryption ; eHealth ; Chaotic map ; Confusion ; Diffusion
• 刊名：Journal of Medical Systems
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：40
• 期：11
• 全文大小：3,168 KB
• 刊物类别：Mathematics and Statistics
• 刊物主题：Statistics
  Statistics for Life Sciences, Medicine and Health Sciences
  Health Informatics and Administration
  
• 出版者：Springer Netherlands
• ISSN：1573-689X
• 卷排序：40

文摘

In this paper, a cryptosystem is proposed to encrypt 16-bit monochrome DICOM image using enhanced chaotic economic map. A new enhanced chaotic economic map (ECEM) is designed from the chaotic economic map which has better bifurcation nature and positive Lyapunov exponent values. In order to improve the sternness of the encryption algorithm, the enhanced chaotic map is employed to generate the pixel permutation, masking, and swapping sequences. The substitution operation is introduced in-between the standard permutation and diffusion operations. The robustness of the proposed image encryption algorithm is measured by various analyses such as histogram, key sensitivity, key space, number of pixel change rate (NPCR), unified average change intensity (UACI), information entropy and correlation coefficient. The results of the security analyses are compared with existing algorithms to validate that the proposed algorithm is better in terms of larger key space to resist brute force attacks and other common attacks on encryption.