A Robust Method to Detect Hidden Data from Digital Images

Romany F. Mansour; W. F. Awwad; A. A. Mohammed

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A Robust Method to Detect Hidden Data from Digital Images

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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.

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《信息安全（英文）》 |2012年第2期|91-95|共5页
作者
Romany F. Mansour; W. F. Awwad; A. A. Mohammed;
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作者单位

Department of computer Science;

Faculty of Science;

Northern Borders Univeristy;

Arar;

Kingdom of Saudi Arabia;

Department of computer Science;

Faculty of Science;

South Valley University;

Qena;

Egypt;

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原文格式 PDF
正文语种 chi
中图分类计算机的应用;
关键词
Data; Hiding; Steganography; Steganalysis; Attack; Color; Image; Hiding; Stego-Image;

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A Robust Method to Detect Hidden Data from Digital Images

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