首页> 外文会议>2016 International Conference on Emerging Technological Trends >A novel image encryption algorithm using pixel shuffling and pixel intensity reversal
【24h】

A novel image encryption algorithm using pixel shuffling and pixel intensity reversal

机译:利用像素改组和像素强度反转的新型图像加密算法

获取原文
获取原文并翻译 | 示例

摘要

Visual cryptography is process to hide information of digital images which has become an active area of research during the last decades. Because of intrinsic features of images (i.e. bulk data capacity, high redundancy etc) encryption of images is different from that of texts and it is generally difficult to handle by traditional methods. Present study proposes a novel symmetric image encryption algorithm using pixel shuffling and reversed binary string of pixel intensity value. Here, the size of the proposed Key_row and Key_col vectors are same as the no of rows and no of columns of the original image. For each pixel, initially binary pattern of pixel intensity value is reversed. In the next step, the new intensity value is stored at a shuffled position. The pixel position is shuffled using two key vectors-Key_row and Key_col. The proposed method is applied on benchmark images and assessment of performance is done using different standard metric for key testing-histogram, correlation, entropy, NPCR and UACI between the original and encrypted image. Theoretical analysis and experimental results both confirm that proposed algorithm possesses high security and can resist statistical and differential attacks.
机译:视觉密码学是隐藏数字图像信息的过程,在过去的几十年中,它已成为研究的一个活跃领域。由于图像的固有特征(即,大数据容量,高冗余度等),图像的加密不同于文本的加密,并且通常难以通过传统方法来处理。本研究提出了一种新的对称图像加密算法,该算法使用像素混洗和像素强度值的反向二进制字符串。在此,建议的Key_row和Key_col向量的大小与原始图像的行数和列数相同。对于每个像素,像素强度值的初始二进制模式被反转。在下一步中,将新的强度值存储在重新排列的位置。使用两个关键向量-Key_row和Key_col对像素位置进行混洗。所提出的方法应用于基准图像,并使用不同的标准度量对原始图像和加密图像之间的关键测试直方图,相关性,熵,NPCR和UACI进行性能评估。理论分析和实验结果均证明该算法具有较高的安全性,可以抵抗统计和差分攻击。

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