The College of Computer Science and Information Technology at University of Basrah organized a scientific lecture entitled:
“Toward Robust Image Encryption: Integrating CNNs, Chaotic Systems, and PSO.”
The lecture aimed to highlight the importance of digital image security and the challenges it faces, while reviewing the latest technologies used in image encryption based on Convolutional Neural Networks (CNNs), Chaotic Systems, and Particle Swarm Optimization (PSO).
The lecture, presented by researcher Sahira Obaid Saad, included an explanation of the mechanisms for integrating artificial intelligence techniques with chaotic systems to generate dynamic and highly random encryption keys. It also presented a proposed system based on fingerprints to generate secure keys that are neither stored nor transmitted.
The lecture concluded with a review of the most important recent studies in the field of digital image encryption and an explanation of the role of the proposed system in enhancing security by producing unique and non-repeating keys, thus contributing to the development of more efficient and reliable encryption systems.
