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A Novel Image Encryption Algorithm Based on Multiple Chaotic Systems and Self-adaptive Model

机译:基于多混沌系统和自适应模型的图像加密新算法

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In recent years, image encryption has attracted much attention. Particularly, due to large data capacity and high correlation among pixels, chaos-based image encryption algorithms are more suitable to be applied in the digital image encryption. In this paper, we propose a novel chaotic image encryption algorithm, in which novel multiple chaotic systems and efficient self-adaptive model are initially mingled to enhance the security. Different from conventional algorithms, plaintext participates in the generation of cryptograph in a new way, which follows the idea from the perceptron model. The proposed algorithm enlarges the key space, enhances the randomness of the algorithm, and resists the differential attack effectively. Simulation results are demonstrated that proposed algorithm possesses the high security for the main current attacks, which is an excellent candidate for practical applications of image encryption.
机译:近年来,图像加密备受关注。特别地,由于大数据容量和像素之间的高相关性,基于混沌的图像加密算法更适合应用于数字图像加密。在本文中,我们提出了一种新颖的混沌图像加密算法,该算法首先将新型的多个混沌系统和高效的自适应模型混合在一起,以提高安全性。与传统算法不同,纯文本以一种新的方式参与了密码的生成,这遵循了感知器模型的思想。所提出的算法扩大了密钥空间,提高了算法的随机性,有效地抵抗了差分攻击。仿真结果表明,该算法对当前主要攻击具有较高的安全性,是图像加密实际应用的极佳候选者。

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