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对灰度图像LSB匹配隐写提出了一种新的检测方法.通过引入不同幅度的修改,分析了消息嵌入过程对载体和载密图像影响的差异,并利用这种嵌入影响的变化率构造了一个分类器.实验表明该方法对于经过JPEG转换的灰度图像和非压缩灰度图像均有较好的检测效果. 相似文献
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针对空间域LSB匹配隐写,提出了一种基于像素差分相关性的隐写分析方法.采用图像的直方图、差分直方图的平滑度、梯度能量、图像平滑度,像素差分的一维和高维统计分布等作为分类特征,结合Fisher线性判别进行隐写分析.实验结果表明,新算法对于LSB匹配的检测具有较高的准确性,且计算复杂度低.该算法还可应用于其他空间域隐写方法的检测. 相似文献
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针对LSB匹配隐写的图像复原隐写分析 总被引:3,自引:0,他引:3
最低有效位(LSB)匹配隐写是目前图像隐写分析的难点和热点之一.为了提高针对LSB匹配隐写的隐写分析算法性能,将图像退化复原理论与图像隐写分析相结合,提出一种新的隐写分析算法.首先将LSB匹配隐写过程建模为加性噪声造成的图像退化过程,提出了一种专用复原滤波算法;然后将载密图像的复原图像作为载体图像的估计图像,提取载密图像与估计图像的质心特征,结合Fisher线性判决器实现隐写分析.实验结果表明,复原滤波算法可有效地复原受LSB匹配隐写噪声污染的退化图像,隐写分析算法的总体性能优于Ker方法,尤其在低嵌入率条件下表现良好,适用于空间域图像LSB匹配隐写. 相似文献
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空间域LSB的信息隐藏检测技术研究 总被引:1,自引:0,他引:1
基于图象的信息隐藏检测技术是隐写分析技术的基础,对于保障网络信息安全和提高信息隐藏算法的安全性具有重要意义。本文针对基于空间域图象的LSB信息伪装的方法,介绍了隐写分析的原理,以及现有的信息隐藏检测算法,并对这些算法进行了评价。最后指出了信息隐藏检测技术未来发展的方向,以及发展前景。 相似文献
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信息隐藏技术已经成为网络信息安全的一个重要研究方向,如何有效地监控和检测网络中传递的秘密消息对于保障国家安全具有重要的现实意义.针对互联网上大量的隐写软件利用彩色厦灰度图像的最低有效比特位(LSB)隐藏秘密消息,基于污染数据分析,提出了一种新的隐写分析方法,并给出了此算法的数学模型.该方法不仅可以快速有效地检测出图像中秘密消息的存在性,同时还可以精确地估计出连续及随机间隔嵌入算法下所嵌入秘密消息的长度. 相似文献
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该文介绍了一种基于图像相近颜色对的RQP信息隐藏检测算法,并提出了可靠估计隐藏信息长度的方法。信息的LSB嵌入会引起图像颜色对的变化,通过对这一变化过程建模可以可靠地估计隐藏信息的长度。该方法简单实用,实验结果表明,对彩色BM P图像具有较高的准确率。该方法同样适用于其它类型图像的LSB信息隐藏。 相似文献
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LSB matching是一种广泛使用的数字图像隐写方法,但关于其隐写分析的工作目前还不多。详细讨论了最近提出的一种基于图像直方图局部极值点的关于LSB matching的隐写分析方法,指出了该方法的不足,并结合图像采样技术给出了一种新的用于LSB matching的检测子。实验表明,提出的检测子实现简单并且具有更好的检测效率。 相似文献
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In this paper, a novel steganographic method is proposed employing an immune programming strategy to find a near-optimal solution for the pair-wise least-significant-bit (LSB) matching scheme. The LSB matching method proposed by Mielikaien utilizes a binary function to reduce the number of changed pixel values. However, his method still has room for improvement. A tier-score system is proposed in this paper to assess the performance of different orders for LSB matching. An immune programming approach is adopted to search for a near-optimal solution among all the permutation orders. The proposed method can reduce the distortion of the stego image, improve the visual quality, and decrease the probability of detection. The experimental results show that the proposed method achieves better performance than Mielikainen’s pair-wise LSB matching method in terms of distortion and survival probability against steganalysis. 相似文献
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针对安全性较高的最不重要位(LSB)匹配隐写算法,通过计算待检测图像像素水平和垂直方向的二阶差分,得到二阶差分矩阵并将其作为敏感特征提取源,提取差分矩阵的二阶Markov转移概率矩阵作为特征,提出了一种隐写检测算法。实验结果表明:与基于一阶差分Markov转移概率矩阵的算法相比,该算法在保证检测较高正确率的情况下,在很大程度上提高了算法的检测速度,增强了算法的性能和实用性。 相似文献
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为了提高对高精度原始图像LSB匹配数字隐写的检测能力,提出了基于直方图特性的LSB匹配隐写分析方法.根据高精度原始图像在LSB匹配数字隐写过程前后灰度直方图、差分直方图以及小波分解后的子带系数直方图的特性差异,提取了23维的特征向量,并使用支持向量机对其进行训练,建立区分载体图像与载密图像的分类器达到检测秘密信息的目的.实验结果表明,该方法在性能上要优于文献[5]的局部极值法. 相似文献
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Vajiheh Sabeti Shadrokh Samavi Shahram Shirani 《Multimedia Tools and Applications》2013,64(3):777-793
Adaptive steganography methods tend to increase the security against attacks. Most of adaptive methods use LSB flipping (LSB-F) for embedding part of their algorithms. LSB-F is very much vulnerable against simple steganalysis methods but it allows the adaptive algorithms to be extractable at the receiver side. Use of LSB matching (LSB-M) could increase the security but extraction of data at the receiver is difficult or, in occasions, impossible. There are numerous attacks against LSB-M. In this paper we are proposing an adaptive algorithm which, unlike most adaptive methods, uses LSB-M as its embedding method. The proposed method uses a complexity measure based on a local neighborhood analysis for determination of secure locations of an image. Comparable adaptive methods that use LSB-M suffer from possible changes in the complexity of pixels when embedding is performed. The proposed algorithm is such that when a pixel is categorized as complex at the transmitter and is embedded the receiver will identify it as complex too, and data is correctly retrieved. Better performance of the algorithm is shown by obtaining higher PSNR values for the embedded images with respect to comparable adaptive algorithms. The security of the algorithm against numerous attacks is shown to be higher than LSB-M. Also, it is compared with a recent adaptive method and is proved to be advantageous for most embedding rates. 相似文献
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最近的研究证明Google的页面等级策略PageRank容易受到Sybil攻击。着眼于对如何构造Sybil攻击来优化PageRank值。提出了构造Sybile攻击的策略模型,考虑节点生成成本和迭代收敛性的前提下,证明了攻击的有效性。最后在模拟环境下对攻击进行了量化分析。 相似文献
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Steganalysis of LSB matching based on statistical modeling of pixel difference distributions 总被引:1,自引:0,他引:1
This paper presents a least significant bit (LSB) matching steganography detection method based on statistical modeling of pixel difference distributions. Previous research indicates that natural images are highly correlated in a local neighborhood and that the value zero appears most frequently in intensity differences between adjacent pixels. The statistical model of the distribution of pixel difference can be established using the Laplace distribution. LSB matching steganography randomly increases or decreases the pixel value by 1 when the message is embedded; thus, the frequency of occurrence of the value zero in pixel differences changes most dramatically during message embedding. Based on the Laplacian model of pixel difference distributions, this paper proposes a method to estimate the number of the zero difference value using the number of non-zero difference values from stego-images and uses the relative estimation error between the estimated and actual values of the number of the zero difference value as the classification feature. Experimental results indicate that the proposed algorithm is effective in detecting LSB matching steganography and can achieve better detection performance than the local extreme method under most circumstances. 相似文献