Advanced 3D Color Image Encryption Using Lorenz and Rössler Chaotic Systems:A Multi-Layered Approach
Safae Amine, Fatima Koulouh, Mohammed Es-Sabry, Rafik Taouil, Ferdaous Hdioud, Nabil El Akkad · 2024
This work introduces a new approach to 3D image encryption using Lorenz and Rössler maps. These two chaotic systems are employed to generate secure and unpredictable keys for the encryption process. The Lorenz map, known for its sensitivity to initial conditions and complex attractor, is combined with the Rössler map, another chaotic system with distinct dynamic properties. By integrating these two three-dimensional chaotic maps, the proposed method enhances the security and robustness of image encryption. The effectiveness of this approach is demonstrated through various encryption and decryption tests, which show its potential to protect sensitive visual data against unauthorized access and attacks. Experimental results, including histograms and correlation coefficients, validate the effectiveness and reliability of the suggested method for ensuring secure image encryption suitable for transmission and storage applications.