Steganalysis of LSB based image steganography using spatial and frequency domain features

  • Authors:
  • Hossein Malekmohamadi;Shahrokh Ghaemmaghami

  • Affiliations:
  • Sharif University of Technology, Tehran, Iran;Sharif University of Technology, Tehran, Iran

  • Venue:
  • ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
  • Year:
  • 2009

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Abstract

In this paper, we propose a method for steganalysis of grayscale images using both spatial and Gabor features. The basis of our work is to use Gabor filter coefficients and statistics of the gray-level co-occurrence matrix of images to train a support vector machine. We show that this feature set works well in steganalysis of grayscale images steganographied by LSB matching and Stools.