Noise-tolerant chaos based cryptosystems for the security of digital images using machine learning
Arslan Shafique (3196)
Noise-tolerant chaos based cryptosystems for the security of digital images using machine learning - Islamabad (unpublished) 2022 - xix, 97 p. : ill. ; 30 cm. +CD
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
Noise-tolerant chaos based cryptosystems for the security of digital images using machine learning - Islamabad (unpublished) 2022 - xix, 97 p. : ill. ; 30 cm. +CD
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