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A new chaotic map based image encryption schemes for several image formats

机译:一种新的基于混沌图的几种图像格式的图像加密方案

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This paper proposes several image encryption schemes for popular image formats as Joint Photographic Experts Group (JPEG), Graphics Interchange Format (GIF), Portable Network Graphics (PNG), and Tagged Image File Format (TIFF). A cross chaotic map proposed based on Devaney's theory and dynamic block dividing of the 3D baker using the cross chaotic map are used for diffusion and permutation in encryption. Moreover, in order to verify user's identity, authentication is carried out using information hiding based on the cross chaotic function. In our methods, image files syntax and structure are not destructed, and the original image can be recovered lossless. For GIF, it keeps the property of animation successfully. The security test results indicate the proposed methods have high security, and the speed of our algorithm is faster than classical solutions. JPEG, GIF, TIFF and PNG image formats are popular contemporarily. Therefore this paper shows that the prospect of chaotic image encryption is promising.
机译:本文针对常用的图像格式提出了几种图像加密方案,例如联合图像专家组(JPEG),图形交换格式(GIF),便携式网络图形(PNG)和标记图像文件格式(TIFF)。基于Devaney理论提出的交叉混沌图和使用该交叉混沌图对3D贝克进行动态块划分用于加密中的扩散和置换。此外,为了验证用户的身份,使用基于交叉混沌函数的信息隐藏来执行认证。在我们的方法中,不会破坏图像文件的语法和结构,并且可以无损地恢复原始图像。对于GIF,它将成功保留动画的属性。安全测试结果表明,所提出的方法具有较高的安全性,并且算法的速度比经典解决方案要快。 JPEG,GIF,TIFF和PNG图像格式同时流行。因此,本文表明混沌图像加密的前景是有希望的。

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