الفهرس 
Chapter 1. IntroductionOnly 14 pages are availabe for public view
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Abstract
With the emergence of new information technology fields and various usages of internet applications, securing massive amounts and multiple varieties of multimedia data has become a significant challenge. Multimedia data is carrying all kinds of information such as private information, medical, civil, militarily, industrial records, secret messages, etc. The illegal use of data can lead to major problems for users and organizations. Hence, it is essential to investigate and develop new cryptographic algorithms to ensure the protection and privacy of multimedia data at rest and during transmission through the communication channel while attempting to overcome the limitations of traditional cryptographic methods.This thesis suggests a novel image encryption and decryption technique based on a computational genetic approach and self-adaptive chaotic substitution. The proposed encryption approach depends mainly on four steps: sequence generation, diffusion, confusion, and optimization using genetic algorithm. The USC-SIPI image dataset is being utilized to prove the correctness and effectiveness of our technique in defending against different attack types. Furthermore, the proposed technique could be capable of withstanding attacks while achieving an information entropy of 7.999, Number of Pixel Change Rate of 99.62%, and a Unified Average Change in Intensity of 33.54%, respectively. The results of security testing and analysis revealed that our image security technique is strongly recommended for modern communications security applications.