Noise-tolerant chaos based cryptosystems for the security of digital images using machine learning - Arslan Shafique (3196) (Islamabad (unpublished), 2022)
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
Keywords: Electrical Engineering -- Asymmetric image encryption schemes -- permutation process evaluation -- Statistical security analysis -- Key sensitivity analysis -- Energy -- FEAS