Y. Q. Shi, C. C. Chen and W. Chen, “A Markov Process Based Approach to Effective Attacking JPEG Steganography,” Proceedings of the 8th International Conference on Information Hiding, Alexandria, 10-12 July 2006, pp. 249-264.

has been cited by the following article:

• TITLE: A Robust Method to Detect Hidden Data from Digital Images

  AUTHORS: Romany F. Mansour, W. F. Awwad, A. A. Mohammed

  KEYWORDS: Data Hiding; Steganography; Steganalysis; Attack; Color Image Hiding; Stego-Image

  JOURNAL NAME: Journal of Information Security, Vol.3 No.2, April 26, 2012

  ABSTRACT: 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.