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

Malekmohamadi, H ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1109/ICME.2009.5202858
  3. Publisher: 2009
  4. Abstract:
  5. 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 graylevel 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 S-tools. ©2009 IEEE
  6. Keywords:
  7. Support vector machine ; Gabor filters ; Gray-level co-occurrence matrix ; LSB matching ; S-tools ; Steganalysis ; Cryptography ; Image enhancement ; Image registration ; Image retrieval ; Multimedia systems ; Support vector machines ; Machine tools
  8. Source: 2009 IEEE International Conference on Multimedia and Expo, ICME 2009, New York, NY, 28 June 2009 through 3 July 2009 ; 2009 , Pages 1744-1747 ; 9781424442911 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/5202858