A Novel Statistical Analysis of Chaotic S-box in Image Encryption
The S-box is utilized within different block ciphers and the complexity of encryption basically relies on the quality of S-box. The quality of S-box could be measured by breaking down its statistical properties. The S-box is the main non-linear component in different block ciphers fit for creating confusion. Numerous S-boxes have been proposed with comparative algebraic and statistical properties. Thusly, it is off and on again hard to pick S-box for a specific application. The performances of these S-boxes vary and rely on the way of information and their applications. In this paper; we have proposed a novel chaotic S-box by applying affine transformation to study their strengths in order to determine their suitability in image encryption. The proposed chaotic S-box is tested for different criterion such mean squared error, root mean squared error, mean absolute error, peak signal to noise ratio, signal-to-noise ratio, universal image quality index and enhancement error. The results of these analyses are further examined and are used to determine the appropriateness of S-box to image encryption applications.
chaotic s-boxes image encryption affine transformation