Adaptive Differential Evolution-Based Lorenz Chaotic System for Image Encryption

The main challenge for Lorenz chaotic system-based image encryption techniques is parameter sensitivity and resistance against attacks. To resolve these issues, a modified image encryption technique based on secure hash algorithm (SHA-3) and adaptive differential evolution (ADE) is proposed. In the proposed technique, ADE is used to optimize the input parameters of Lorenz chaotic system. SHA-3 is used to generate secret key based on the input image. The optimized parameters and external secret keys are used to generate initial values for Lorenz chaotic system that make it sensitive toward input image and provide resistance against both known-plaintext and known-ciphertext attacks. The proposed technique is compared with five well-known image encryption techniques over four color images. The experimental results reveal that the proposed technique outperforms existing techniques in terms of security and quality measures. The noise and enhancement attacks are also applied to test the robustness of proposed technique.

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