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Chaotic based Image Encryption - A Neutral Perspective

机译：基于混沌的图像加密-中立的观点

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Today, there are several applications which allow us to share images over the internet. All these images must be stored in a secure manner and should be accessible only to the intended recipients. Hence it is of utmost importance to develop efficient and fast algorithms for encryption of images. This paper uses chaotic generators to generate random sequences which can be used as keys for image encryption. These sequences are seemingly random and have statistical properties. This makes them resistant to analysis and correlation attacks. However, these sequences have fixed cycle lengths. This restricts the number of sequences that can be used as keys. This paper utilises neural networks as a source of perturbation in a chaotic generator and uses its output to encrypt an image. The robustness of the encryption algorithm can be verified using NPCR, UACI, correlation coefficient analysis and information entropy analysis.
机译：今天，有几个应用程序允许我们在互联网上共享图像。所有这些图像必须以安全的方式存储，并且应该只能访问预期的收件人。因此，开发用于加密图像的高效和快速算法至关重要。本文使用混沌发生器生成随机序列，可用作图像加密的键。这些序列似乎是随机的并且具有统计学性质。这使得它们抵抗分析和相关攻击。然而，这些序列具有固定循环长度。这限制了可以用作键的序列数。本文利用神经网络作为混沌发生器中的扰动源，并使用其输出来加密图像。可以使用NPCR，UACI，相关系数分析和信息熵分析来验证加密算法的鲁棒性。

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