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A Robust Method to Detect Hidden Data from Digital Images

机译:一种从数字图像中检测隐藏数据的可靠方法

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摘要

Recently, numerous novel algorithms have been proposed in the fields of steganography and visual cryptography with the goals of improving security, reliability, and efficiency. Steganography detection is a technique to tell whether there are secret messages hidden in images. The performance of a steganalysis system is mainly determined by the method of feature extraction and the architecture selection of the classifier. In this paper, we present a new method Visual Pixel Detection VPD for extract data from a color or a grayscale images. Because the human eye can recognize the hidden information in the image after using this detection. The experimental results show that the proposed method provides a better performance on testing images in comparison with the existing method in attacking Steghide, Outguess and F5.
机译:近来,在隐写术和视觉密码学领域中已经提出了许多新颖的算法,其目的是提高安全性,可靠性和效率。隐秘术检测是一种技术,用于判断图像中是否隐藏了秘密消息。隐写分析系统的性能主要取决于特征提取方法和分类器的体系结构选择。在本文中,我们提出了一种新的可视像素检测VPD方法,用于从彩色或灰度图像中提取数据。因为使用此检测后,人眼可以识别图像中的隐藏信息。实验结果表明,所提出的方法在攻击Steghide,Outguess和F5方面比现有方法具有更好的图像检测性能。

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