Journal
IET COMPUTER VISION
Volume 10, Issue 6, Pages 593-602Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-cvi.2015.0344
Keywords
cryptography; matrix algebra; image processing; image encryption scheme; block based confusion; multiple levels of diffusion; Lorenz equation; Henon map; complex function; diffusion matrix; encryption algorithm; adjacent pixels
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This study proposes a chaos-based image encryption scheme using Henon map and Lorenz equation with multiple levels of diffusion. The Henon map is used for confusion and the Lorenz equation for diffusion. Apart from the Lorenz equation, another matrix with the same size as the original image is generated which is a complex function of the original image. This matrix which is configured as a diffusion matrix permits two stages of diffusion. Due to this step, there is a strong sensitivity to input image. This encryption algorithm has high key space, entropy very close to eight (for grey images) and very less correlation among adjacent pixels. The highlight of this method is the ideal number of pixels change rate and unified average changing intensity it offers. These ideal values indicate that the encrypted images produced by this proposed scheme are random-like. Further, a cryptanalysis study has been carried out to prove that the proposed algorithm is resistant to known attacks.
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