Adversary-Aware, data-driven detection of double JPEG compression: How to make counter-forensics harder

8th IEEE International Workshop on Information Forensics and Security, WIFS 2016

Volumn , Issue , 2017, Pages

  Barni, Mauro ^a   Chen, Zhipeng ^b,c   Tondi, Benedetta ^a  

^a UNIVERSITY OF SIENA   (Italy)

^b BEIJING JIAOTONG UNIVERSITY   (China)

^c TANGSHAN NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADVERSARIAL ENVIRONMENTS; COUNTER-FORENSICS; DATA-DRIVEN APPROACH; DOUBLE JPEG COMPRESSIONS; EVALUATION METHODOLOGIES; FIRST-ORDER STATISTICS; FORENSIC DETECTION; UNIVERSAL COUNTER;

IMAGE COMPRESSION;

EID: 85015106286     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIFS.2016.7823902     Document Type: Conference Paper

References (24)

1. R. Böhme and M. Kirchner, "Counter-forensics: Attacking image forensics, " in Digital Image Forensics, H. T. Sencar and N. Memon, Eds. Springer Berlin /Heidelberg, 2012.
2. M. Barni, M. Fontani, and B. Tondi, "A universal technique to hide traces of histogram-based image manipulations, " in Proc. of the ACM Multimedia and Security Workshop, Coventry, UK, 6-7 September 2012, pp. 97-104.
3. M. Barni and F. Pérez-González, "Coping with the enemy: Advances in adversary-Aware signal processing, " in ICASSP 2013, IEEE Int. Conf. Acoustics, Speech and Signal Processing, Vancouver, Canada, 26-31 May 2013, pp. 8682-8686.
4. M. Barni and B. Tondi, "The source identification game: An informationtheoretic perspective, " IEEE Transactions on Information Forensics and Security, vol. 8, no. 3, pp. 450-463, March 2013.
5. M. C. Stamm, W. S. Lin, and K. J. R. Liu, "Forensics vs anti-forensics: A decision and game theoretic framework, " in Proc. of ICASSP 2012, IEEE Int. Conf. Acoustics, Speech and Signal Processing, Kyoto, Japan, 25-30 March 2012.
6. H. Zeng, X. Kang, and J. Huang, "Mixed-strategy Nash equilibrium in the camera source identification game, " in Proc. of 20th IEEE International Conference on Image Processing (ICIP), 2013, pp. 4472-4476.
7. W. H. Chuang, R. Garg, and M. Wu, "Anti-forensics and countermeasures of electrical network frequency analysis, " IEEE Transactions on Information Forensics and Security, vol. 8, no. 12, pp. 2073-2088, Dec 2013.
8. F. Marra, G. Poggi, F. Roli, C. Sansone, and L. Verdoliva, "Counterforensics in machine learning based forgery detection, " in SPIE/IS&T Electronic Imaging. International Society for Optics and Photonics, 2015, pp. 94 090L-94 090L.
9. M. Barni, M. Fontani, and B. Tondi, "Universal counterforensics of multiple compressed jpeg images, " in Digital-Forensics and Watermarking. Springer, 2014, pp. 31-46.
10. C. Villani, Optimal Transport: Old and New. Berlin: Springer-Verlag, 2009.
11. J. Fridrich, M. Goljan, and D. Hogea, "Steganalysis of jpeg images: Breaking the f5 algorithm, " in Information Hiding. Springer, 2003, pp. 310-323.
12. S. Milani, M. Tagliasacchi, and S. Tubaro, "Discriminating multiple jpeg compression using first digit features, " in 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2012, pp. 2253-2256.
13. T. Pevny and J. Fridrich, "Detection of double-compression in jpeg images for applications in steganography, " IEEE Transactions on Information Forensics and Security, vol. 3, no. 2, pp. 247-258, June 2008.
14. M. Barni and B. Tondi, "Source distinguishability under distortionlimited attack: An optimal transport perspective, " IEEE Transactions on Information Forensics and Security, vol. 11, no. 10, pp. 2145-2159, Oct 2016.
15. P. Comesana-Alfaro and F. Pérez-González, "Optimal counterforensics for histogram-based forensics, " in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2013, pp. 3048-3052.
16. C. Pasquini, P. Comesaa-Alfaro, F. Prez-Gonzlez, and G. Boato, "Transportation-Theoretic image counterforensics to first significant digit histogram forensics, " in 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014, pp. 2699-2703.
17. Y. Rubner, C. Tomasi, and L. J. Guibas, "The earth movers distance as a metric for image retrieval, " Int. J. Comput. Vision, vol. 40, no. 2, pp. 99-121, November 2000.
18. A. Hoffman, "On simple linear programming problems, " in Proceedings of Symposia in Pure Mathematics, vol. 7. World Scientific, 1963, pp. 317-327.
19. M. Barni and B. Tondi, "Multiple-observation hypothesis testing under adversarial conditions, " in Information Forensics and Security (WIFS), 2013 IEEE International Workshop on, Nov 2013, pp. 91-96.
20. A. B. Watson, "DCT quantization matrices visually optimized for individual images, " in Proc. of IS&T/SPIEs Symposium on Electronic Imaging: Science and Technology. International Society for Optics and Photonics, 1993, pp. 202-216.
21. D.-T. Dang-Nguyen, C. Pasquini, V. Conotter, and G. Boato, "Raise: A raw images dataset for digital image forensics, " in Proceedings of the 6th ACM Multimedia Systems Conference, ser. MMSys 15. New York, NY, USA: ACM, 2015, pp. 219-224. [Online]. Available: http://doi.acm.org/10.1145/2713168.2713194
22. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity, " IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600-612, 2004.
23. S. Milani, M. Tagliasacchi, and S. Tubaro, "Antiforensics attacks to benfords law for the detection of double compressed images, " in Proc. of ICASSP 2013, IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, pp. 3053-3057.
24. I. Chingovska, A. Anjos, and S. Marcel, "Anti-spoofing in action: Joint operation with a verification system, " in Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on, June 2013, pp. 98-104.