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

By:

Arslan Shafique (3196)

Material type: Text

TextPublication details: Islamabad (unpublished) 2022Description: xix, 97 p. ; 30 cm. +CD : illSubject(s):

Electrical Engineering -- Asymmetric image encryption schemes -- permutation process evaluation -- Statistical security analysis -- Key sensitivity analysis -- Energy -- FEAS

DDC classification:

616.9 ARS

Dissertation note: Thesis (M.Phil.)--Riphah International University, 2022

List(s) this item appears in: FEAS & DBS Thesis I-14 Campus

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Main Campus	616.9 ARS (Browse shelf(Opens below))	1	NOT for LOAN		69234

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

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