首页> 外文会议>2012 International Conference on Management of e-Commerce and e-Government. >A Novel LSB Matching Steganalysis Detection Algorithm Based on Characteristics of the Second Order Difference Markov
【24h】

A Novel LSB Matching Steganalysis Detection Algorithm Based on Characteristics of the Second Order Difference Markov

机译:基于二阶差分马尔可夫特征的LSB匹配隐写检测算法

获取原文
获取原文并翻译 | 示例

摘要

For the LSB matching steganography with high security, the author has calculated the second-order differential of the image pixels on horizontal and vertical directions, obtaining the differential matrix and taking it as sensitive feature extracting source. Then, by extracting the second-order Markov transformation matrix of the differential matrix as the features, this paper proposed a LSB matching steganalytic algorithm. Experimental results show that: compared with existing algorithm, the proposed algorithm can not only preserve the high detection accuracy, but also speedup the detection process in a large extent, which enhance the performance and practicability of the steganalytic algorithm.
机译:对于具有较高安全性的LSB匹配隐写技术,作者计算了图像像素在水平和垂直方向的二阶差分,获得了差分矩阵并将其作为敏感特征提取源。然后,以微分矩阵的二阶马尔可夫变换矩阵为特征,提出了一种LSB匹配隐写分析算法。实验结果表明:与现有算法相比,该算法不仅保持了较高的检测精度,而且在很大程度上加快了检测速度,提高了隐写分析算法的性能和实用性。

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