  A secure and reliable image encryption scheme is presented in this study. The
encryption scheme hereby introduces a novel chaotic log-map, deep convolution
neural network (CNN) model for key generation, and bit reversion operation for
the manipulation process. Thanks to the sensitive key generation, initial
values and control parameters are produced for the hyperchaotic log-map, and
thus a diverse chaotic sequence is achieved for encrypting operations. The
scheme then encrypts the images by scrambling and manipulating the pixels of
images through four operations: permutation, DNA encoding, diffusion, and bit
reversion. The encryption scheme is precisely examined for the well-known
images in terms of various analyses such as keyspace, key sensitivity,
information entropy, histogram, correlation, differential attack, noisy attack,
and cropping attack. To corroborate the scheme, the visual and numerical
results are even compared with available outcomes of the state of the art.
Therefore, the proposed log-map based image encryption scheme is successfully
verified and validated by the superior absolute and comparative results.
