Innovative Visual Cipher
Nishant Bhaskar Singh, V. Praveen Kumar, P. Ajitha · Advances in computational intelligence and robotics book series · 2024
Cloud computing's central role in contemporary data storage and sharing escalates the challenge of safeguarding sensitive information. This chapter introduces a groundbreaking approach to file encryption within cloud environments, capitalizing on the concept of noise images and their application in quantum networks and AI. Departing from conventional methods, this approach embeds visual noise patterns into the encryption process, markedly fortifying data security. The study commences with a comprehensive examination of the limitations inherent in traditional encryption techniques within cloud settings, elucidating vulnerabilities like data leakage and unauthorized access. To counteract these vulnerabilities, a pioneering encryption algorithm is presented, seamlessly integrating noise images derived from sophisticated mathematical models. These noise images function as dynamic and unpredictable encryption keys, substantially augmenting the security posture of cloud-stored data.