A Robust Method to Detect Hidden Data from Digital Images

• 作者: A. A. Mohammed Romany F. Mansour W. F. Awwad
• 来源期刊: 信息安全(英文)
• 学科: 工学
• 关键词: Data Hiding STEGANOGRAPHY STEGANALYSIS ATTACK COLOR Image Hiding STEGO-IMAGE
• 年，卷（期）: 2012,（2）
• 页码范围: 91-95
• 页数: 5页
• 分类号: TP39

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.