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Steganalysis of LSB Embedded Images Using Gray Level Co-Occurrence Matrix
H.B.Kekre, A.A.Athawale, Sayli Anand Patki
Pages - 36 - 45     |    Revised - 31-03-2011     |    Published - 04-04-2011
Volume - 5   Issue - 1    |    Publication Date - March / April 2011  Table of Contents
Steganography, Steganalysis, LSB Embedding, GLCM, Distance Measures
This paper proposes a steganalysis technique for both grayscale and color images. It uses the feature vectors derived from gray level co-occurrence matrix (GLCM) in spatial domain, which is sensitive to data embedding process. This GLCM matrix is derived from an image. Several combinations of diagonal elements of GLCM are considered as features. There is difference between the features of stego and non-stego images and this characteristic is used for steganalysis. Distance measures like Absolute distance, Euclidean distance and Normalized Euclidean distance are used for classification. Experimental results demonstrate that the proposed scheme outperforms the existing steganalysis techniques in attacking LSB steganographic schemes applied to spatial domain.
CITED BY (13)  
1 Luo, D., Sun, M., & Huang, J. (2016). Audio Post-processing Detection Based on Amplitude Co-occurrence Vector Feature.
2 Saini, M., & Chhikara, R. (2015, April). DWT Feature based Blind Image Steganalysis using Neural Network Classifier. In International Journal of Engineering Research and Technology (Vol. 4, No. 04 (April-2015)). ESRSA Publications.
3 Hossain, S. M., Islam, M. S., & Ajra, H. Digital Image as a Liaison of Immune Networking.
4 Bhasin, V., Bedi, P., Goel, A., & Gupta, S. (2015, August). StegTrack: Tracking images with hidden content. In Proceedings of the Third International Symposium on Women in Computing and Informatics (pp. 318-323). ACM.
5 Wang, X., Wei, C., & Han, X. (2015). Steganography forensics method for detecting least significant bit replacement attack. Journal of Electronic Imaging, 24(1), 013016-013016.
6 Koshkina, N. V. (2014). Investigation of the Applicability of the Co-occurrence Matrix for Detecting Steganoaudiosignals. Journal of Automation and Information Sciences, 46(1).
7 Badr, S. M., Ismaial, G., & Khalil, A. H. (2014). A Review on Steganalysis Techniques: From Image Format Point of View. International Journal of Computer Applications, 102(4).
8 Kaur, M., & Kaur, G. (2014). Review of Various Steganalysis Techniques. International Journal of Computer Science and Information Technologies, 5(2).
9 ZHANG Min-qing, Yang Gang, & Wu Xuguang (2013) A written analysis algorithm based on additive model implicit argument of Wuhan University:... Science Edition, (6), 545-550.
10 Ghanbari, S., Keshtegary, M., Ghanbari, N., & Branch, Z. (2012). New steganalysis method using GLCM and neural network.
11 Bear steel, PING Xi-jian, Zhang Tao, Sun & Bing. (2012) A hidden LSB matching based on image content written analysis of Electronics & Information Technology, 34 (6), 1380-1387.
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Dr. H.B.Kekre
Mukesh Patel School of Technology Management & Engineering - India
Mr. A.A.Athawale
Mukesh Patel School of Technology Management & Engineering - India
Miss Sayli Anand Patki
K.J.Somiaya Institute of Engineering and Information Technology - India