Variable multi-dimensional co-occurrence for steganalysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9023, Issue , 2015, Pages 559-573

  Chen, Licong ^a   Shi, Yun Qing ^a   Sutthiwan, Patchara ^a  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Co occurrence; High order co occurrence; Steganalysis; Steganography; Variable cooccurrence

Indexed keywords

INFORMATION DISSEMINATION; STEGANOGRAPHY;

CO-OCCURRENCE; CO-OCCURRENCE HISTOGRAMS; DETECTION RATES; ENSEMBLE CLASSIFIERS; MULTI DIMENSIONAL; QUANTIZATION LEVELS; STEGANALYSIS; STEGANOGRAPHIC SCHEMES;

CLASSIFICATION (OF INFORMATION);

EID: 84983591266     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-19321-2_43     Document Type: Conference Paper

References (19)

1. Pevny, T., Bas, P., Fridrich, J.: Steganalysis by subtractive pixel adjacency matrix. IEEE Trans. Inf. Forensics Secur. 5(2), 215–224 (2010)
2. Pevny, T., Filler, T., Bas, P.: Using high-dimensional image models to perform highly undetectable steganography. In: Böhme, R., Fong, P., Safavi-Naini, R. (eds.) IH 2010. LNCS, vol. 6387, pp. 161–177. Springer, Heidelberg (2010)
3. Filler, T., Judas, J., Fridrich, J.: Minimizing additive distortion in steganography using syndrome-trellis codes. IEEE Trans. Inf. Forensics Secur. 6(3), 920–935 (2011)
4. Bas, P., Filler, T., Pevný, T.: Break our steganographic system: the ins and outs of organizing BOSS. In: Filler, T., Pevný, T., Craver, S., Ker, A. (eds.) IH 2011. LNCS, vol. 6958, pp. 59–70. Springer, Heidelberg (2011).
5. http://dx.doi.org/10.1007/978-3-642-24178-9_5
6. Gul, G., Kurugollu, F.: A new methodology in steganalysis: breaking highly undetectable steganograpy (HUGO). In: Filler, T., Pevný, T., Craver, S., Ker, A. (eds.) IH 2011. LNCS, vol. 6958, pp. 71–84. Springer, Heidelberg (2011).
7. http://dx.doi.org/10.1007/978-3-642-24178-9_6
8. Fridrich, J., Kodovský, J., Holub, V., Goljan, M.: Steganalysis of content-adaptive steganography in spatial domain. In: Filler, T., Pevný, T., Craver, S., Ker, A. (eds.) IH 2011. LNCS, vol. 6958, pp. 102–117. Springer, Heidelberg (2011)
9. Shi, Y.Q., Sutthiwan, P., Chen, L.: Textural features for steganalysis. In: Kirchner, M., Ghosal, D. (eds.) IH 2012. LNCS, vol. 7692, pp. 63–77. Springer, Heidelberg (2013).
10. http://dx.doi.org/10.1007/978-3-642-36373-3_5
11. Fridrich, J., Kodovsky, J.: Rich models for steganalysis of digital images. IEEE Trans. Inf. Forensics Secur. 7(3), 868–882 (2012)
12. Chen, L., Shi, Y.Q., Sutthiwan, P., Niu, X.: A novel mapping scheme for steganalysis. In: Shi, Y.Q., Kim, H.-G. (eds.) IWDW 2012. LNCS, vol. 7809, pp. 19–33. Springer, Heidelberg (2013)
13. Chen, L., Shi, Y.Q., Sutthiwan, P., Niu, X.: Non-uniform quantization in breaking HUGO. In: Shi, Y.Q., Kim, H.-J., Pérez-González, F. (eds.) IWDW 2013. LNCS, vol. 8389, pp. 48–62. Springer, Heidelberg (2014)
14. Holub, V., Fridrich, J.: Random projections of residuals for digital image steganalysis. IEEE Trans. Inf. Forensics Secur. 8(12), 1996–2006 (2013)
15. Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. SMC–3, 610–621 (1973)
16. Pevný, T.: Co-occurrence steganalysis in high dimensions. In: IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, pp. 83030B–83030B (2012)
17. Oja, E., Valkealahti, K.: Compressing higher-order co-occurrences for texture analysis using the self-organizing map. In: Proceedings of IEEE International Conference on Neural Networks, vol. 2, pp. 1160–1164 (1995)
18. Luo, W., Huang, F., Huang, J.: Edge adaptive image steganography based on lsb matching revisited. IEEE Trans. Inf. Forensics Secur. 5(2), 201–214 (2010)
19. Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2(3), 27:1–27:27 (2011)