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Entropy-Based Block Scrambling Image Encryption Using DES Structure and Chaotic Systems
International Journal of Optics ( IF 1.7 ) Pub Date : 2019-08-15 , DOI: 10.1155/2019/3594534
Xuncai Zhang 1 , Lingfei Wang 1 , Guangzhao Cui 1 , Ying Niu 1
Affiliation  

Traditional encryption algorithms are inefficient when applied to image encryption because image data have the characteristics of large data sizes and strong correlations between adjacent pixels. The shortcomings of the traditional Data encryption standard (DES) encryption algorithm when applied to image encryption are analyzed, and a new image encryption algorithm based on the traditional DES encryption algorithm model, chaotic systems, DNA computing, and select cipher-text output is proposed. Select cipher-text output selects cipher image with the biggest entropy, and it can increase the randomness of cipher image and reduce the risk of encryption system being broken down. This algorithm overcomes the shortcomings of high computational complexity and inconvenient key management that the traditional text encryption algorithm has when applied to image encryption. The experimental results show that the security of this algorithm is verified by analyzing the information entropy, image correlation of adjacent pixels and other indexes. At the same time, this algorithm passes the noise attack test and the occlusion attack test, so it can resist common attacks.

中文翻译:

基于DES结构和混沌系统的基于熵的块加扰图像加密

传统的加密算法在应用于图像加密时效率不高,因为图像数据具有数据大小大和相邻像素之间相关性强的特点。分析了传统数据加密标准(DES)加密算法在图像加密中的缺点,提出了一种基于传统DES加密算法模型,混沌系统,DNA计算和选择密文输出的新图像加密算法。 。选择密文输出选择熵最大的密文,可以增加密文的随机性,降低加密系统崩溃的风险。该算法克服了传统的文本加密算法应用于图像加密时计算量大,密钥管理不便的缺点。实验结果表明,通过分析信息熵,相邻像素的图像相关性及其他指标,验证了该算法的安全性。同时,该算法通过了噪声攻击测试和遮挡攻击测试,因此可以抵抗普通攻击。
更新日期:2019-08-15
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