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. 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 paper suggests a novel image encryption and decryption technique based on a computational genetic approach and selfadaptive chaotic substitution. The proposed encryption method depends mainly on four steps: sequence generation, diffusion, confusion, and optimization. The USC-SIPI image dataset is being utilized to prove the correctness and effectiveness of our approach 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 method is strongly recommended for modern communications security applications.INDEX TERMS Image security, chaotic systems, computational methods, genetic algorithm. I. INTRODUCTIONWith the development of the Internet and computer technology, people are using applications and systems in many aspects of their daily life. These applications and systems depend entirely on multimedia data (e.g., texts, images, videos, and audio). Multimedia data carries all kinds of information. This critical information may be private, medical, civil, military, industrial records, or secret messages and is primarily a target of many attacks. Illegal use of data can lead to major problems for users and organizations. Thus, multimedia data must be protected before transmission or distribution over networks.Various digital images and information formats, like color, gray, binary, and medical images, have been used and The associate editor coordinating the review of this manuscript and approving it for publication was Shuangqing Wei .
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