Noise-tolerant chaos based cryptosystems for the security of digital images using machine learning

Noise-tolerant chaos based cryptosystems for the security of digital images using machine learning Arslan Shafique (3196) creator text Islamabad (unpublished) 2022 monographic xix, 97 p. ; 30 cm. +CD : ill. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical Engineering to the Faculty of Engineering and Applied Sciences Includes bibliographical references. Thesis supervisor: Dr. Jameel Ahmed Thesis (M.Phil.)--Riphah International University, 2022 English Electrical Engineering Asymmetric image encryption schemes permutation process evaluation Statistical security analysis Key sensitivity analysis Energy FEAS 616.9 ARS