首页> 外文会议>National Conference on Communications >Symmetric Chaos-Based Image Encryption Technique on Image Bit-Planes using SHA-256
【24h】

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

机译:使用SHA-256的图像位平面上基于混沌的对称图像加密技术

获取原文
获取外文期刊封面目录资料

摘要

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.
机译: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发展,传输数据的安全性成为人们关注的领域。多数数据采用多媒体形式,可以通过各种加密技术进行保护。在本文中,我们提出了一种图像加密技术,该技术将Lorentz吸引子和安全哈希算法(SHA-2)混合应用在图像的分离位平面上。我们的研究利用了Lorenz吸引子的混沌性质,并极大地改善了熵,这是衡量随机性的重要参数。我们还介绍了一种实现混沌方案的新方法。 SHA-2和洛伦兹吸引子用于生成密钥矩阵。在平面图像上执行位平面切片,以将其分解为一维数据,然后使用密钥矩阵执行X-OR操作。加密文件会受到各种分析和攻击。结果表明,该算法可抵抗各种已知攻击,并具有理想的安全性能。所提出的算法中的加密和解密都减少了损失。所提出的算法显示出熵的显着提高,改进的差分攻击分析结果,理想的直方图,并且与现有技术水平相当。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号