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作 者:Romany F. Mansour W. F. Awwad A. A. Mohammed
机构地区:[1]Department of computer Science, Faculty of Science, Northern Borders Univeristy, Arar, Kingdom of Saudi Arabia [2]Department of computer Science, Faculty of Science, South Valley University, Qena, Egypt
出 处:《Journal of Information Security》2012年第2期91-95,共5页信息安全(英文)
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.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.
关 键 词:Data Hiding STEGANOGRAPHY STEGANALYSIS ATTACK COLOR Image Hiding STEGO-IMAGE
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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