NDLI: Chua's diode and strange attractor: a three-layer hardware–software co-design for medical image confidentiality

Content Provider	IET Digital Library
Author	Rajagopalan, Sundararaman Poori, Siva Narasimhan, Mukund Rethinam, Sivaraman Kuppusamy, Chandrasekar Vallipalayam Balasubramanian, Ramalingam Annamalai, Vijaya Moorthi Paramasivam Rengarajan, Amirtharajan
Abstract	Medical image security relies upon the arrival of improved techniques for enhancing the confusion as well as diffusion processes in the pixel level manipulations. Non-linear circuits constructed with hardware components can be employed for hardware–software co-design in medical image encryption. The proposed approach has adopted Chua diode circuit for the generation of 256 × 256 random synthetic image with the entropy of 7.9972. This synthetic image has been utilised to scramble the DICOM image for the second level of diffusion as the cellular automata provides the first level of scrambling and diffusion. The average correlation coefficients of encrypted pixels are 0.00204, −0.00298 and −0.00054 in three directions. The encrypted pixels pass the NIST SP 800-22 test suite and offer resistance to statistical, differential and chosen plain text attacks.
Starting Page	1354
Ending Page	1365
Page Count	12
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 7, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0562
Journal	IET Image Processing
Publisher Date	2020-02-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	256 × 256 Random Synthetic Image Average Correlation Coefficient Biology And Medical Computing Biomedical Measurement And Imaging Cellular Automata Chaos Chua Diode Circuit Chua's Diode Computer Vision And Image Processing Technique Cryptography Data Security DICOM Image Diffusion Processes Encrypted Pixel Hardware Component Image Processing Improved Technique Medical Image Confidentiality Medical Image Encryption Medical Image Processing Medical Image Security Nonlinear Circuit Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Pixel Level Manipulations Random Number Generation Scrambling Diffusion Security of Data Statistics Strange Attractor Three-layer Hardware–software Co-design
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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