Symmetric Chaos-Based Image Encryption Technique on Image Bit-Planes using SHA-256

Abhilash Ashok Bhadke, Surender Kannaiyan, V. Kamble
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引用次数: 6

Abstract

With development of communication technology, popularity of internet and various facilities like cloud storage, social media etc., the security of transmitted data has become an area on concern. Majority of the data is in the form of multimedia which can be protected through various encryption techniques. In this paper, we propose an encryption technique for images which is hybrid of Lorentz attractor and Secure Hash Algorithm (SHA-2) applied on separated bit planes of the image. Our research utilize the chaotic nature of the Lorenz attractor and has significantly improved the entropy, which is an important parameter to measure the randomness. We also introduce a new method of implementing chaotic scheme. SHA-2 and Lorentz attractor are used to generate the key matrix. Bit-plane slicing is carried out on the plain image to decompose it to 1- D data and then X-OR operation with the key matrix is performed. The encrypted file is subjected to various analysis and attacks. The results demonstrate that the algorithm is resistant to various known attacks along with desirable security performance. Both encryption and decryption in the proposed algorithm are loss less. The proposed algorithm shows significant increase in Entropy, improved differential attack analysis results, desirable histogram and are comparable with the state of the art algorithms.
基于SHA-256的对称混沌图像位平面加密技术
随着通信技术的发展,互联网的普及以及云存储、社交媒体等各种设施的普及,传输数据的安全性已经成为人们关注的一个领域。大多数数据以多媒体的形式存在,可以通过各种加密技术加以保护。本文提出了一种将洛伦兹吸引子和安全哈希算法(SHA-2)混合应用于图像的分离位平面的图像加密技术。我们的研究利用了洛伦兹吸引子的混沌性质,并显著提高了熵,熵是衡量随机性的一个重要参数。我们还介绍了一种实现混沌方案的新方法。利用SHA-2和洛伦兹吸引子生成密钥矩阵。对平面图像进行位平面切片,将其分解为1维数据,然后对密钥矩阵进行x或运算。加密后的文件会受到各种分析和攻击。结果表明,该算法能够抵抗各种已知的攻击,并具有良好的安全性能。该算法的加密和解密都具有较小的损失。该算法具有显著的熵增加、改进的差分攻击分析结果、理想的直方图等特点,与现有算法具有可比性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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