Advancing Secure Image Handling through Chaotic and Bio-Molecular Computing: Exploring the Role of Chaotic and Bio-Molecular Computing in Image Security

Rapid digital advances have made image security crucial especially in fields like banking biometrics and social media. This study proposes a novel image cryptosystem combining DNA and chaos-based cryptography to ensure secure image transmission. A Cross Cosine Map (CCM) generates chaotic keys for grayscale image encryption while a hyper-chaos-based system secures color images. A lightweight architecture offers dual-layered protection for biometric data. The system's performance is validated using statistical differential and robustness analyses along with standard image quality metrics.