论文标题
用于图像和视频加密的新的混乱和基于置换的算法
A New Chaos and Permutation Based Algorithm for Image and Video Encryption
论文作者
论文摘要
图像和视频序列具有大量高度相关和冗余数据。军事和电信等应用需要加密方法来保护数据免受不需要的访问。在大多数情况下，这一要求需要实时实现。在本文中，我们提出了一种基于混乱的随机序列发生器和置换置换置换（PIP）像素像素变换的快速新的盛大结构化方法，用于图像和视频加密。这种方法利用数学功能，并以低复杂性转换。同时，该算法可以确保在加密质量方面没有巨大的回报。这使该算法具有有希望的实时应用程序范围和简单的硬件实现的范围。该算法的MATLAB模拟以较高的熵值以及可忽略的加密数据与原始数据相关性来确定其高质量的加密质量。仿真结果还显示出对键的轻微变化的高灵敏度，以确保高安全性。
Images and video sequences carry large volumes of highly correlated and redundant data. Applications like military and telecommunication require encryption methods to protect the data from unwanted access. This requirement in most cases needs to be realized in real-time. In this paper, we propose a fast new Fiestal-structured approach for image and video encryption based on a chaotic random sequence generator and a Permutation-Inverse Permutation (PIP) pixel transform. This approach utilizes mathematical functions and transforms with low complexity. The algorithm at the same time, ensures no drastic pay off in terms of encryption quality. This renders the algorithm with promising scope for real time applications and easy hardware implementation. MATLAB simulation of the algorithm establishes its high quality of encryption in terms of elevated entropy values and negligible correlation of the encrypted data with the original. Simulation results also show high sensitivity to slight variation in keys ensuring high security.
