Z.-M. He, W. W. Y. Ng, P. P. K. Chan and D. S. Yeung, “Steganography Detection Using Localized Generalization Error Model,” Proceedings of the International Conference on Systems Man and Cybernetics of the IEEE SMC, Istanbul, 10-13 October 2010, pp. 1544-1549. doi:10.1109/ICSMC.2010.5642331

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.