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. Keywords Image encryption · Chaotic maps · Adaptive differential evolution · Security analysis · Lorenz chaotic system 1 Introduction broken by cryptanalyst as reported in . Zhang et al. uti- lized discrete wavelet transform (DWT) with piecewise linear With the advancement in multimedia technology, informa- chaotic map (PWLCM) to encrypt the
Arabian Journal for Science and Engineering – Springer Journals
Published: Jun 6, 2018
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