Medical Image Encryption using Chaotic Map Improved Advanced Encryption Standard
Author(s) -
Ranvir Singh Bhogal,
Baihua Li,
Alastair G. Gale,
Yan Chen
Publication year - 2018
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2018.08.01
Subject(s) - encryption , advanced encryption standard , computer science , dicom , histogram , pixel , chaotic , algorithm , image (mathematics) , artificial intelligence , computer vision , computer network
Under the Digital Image and Communicationin Medicine (DICOM) standard, the AdvancedEncryption Standard (AES) is used to encrypt medical image pixel data. This highly sensitive data needs to be transmitted securely over networks to prevent data modification. Therefore, there is ongoing research intohow well encryption algorithms perform on medical images and whether they can be improved. In this paper, we have developed an algorithm using a chaotic map combined with AES and tested it against AES in its standard form. This comparison allowed us to analyse how the chaotic map affected the encryption quality. Thedeveloped algorithm, CAT-AES, iterates throughArnold’s cat map before encryption a certain number of times whereas, the standard AES encryption does not. Both algorithms were tested on two sets of 16-bit DICOM images: 20 brain MRI and 26 breast cancer MRI scans, using correlation coefficient and histogram uniformity for evaluation. The results showed improvements in the encryption quality. When encryptingthe images with CAT-AES, the histograms were more uniform, and the absolute correlation coefficient was closer to zero for the majority of images tested on.
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