Image counter-forensics based on feature injection

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 9028, Issue , 2014, Pages

  Iuliani, M ^a   Rossetto, S ^b   Bianchi, T ^c   De Rosa, Alessia ^a   Piva, A ^b   Barni, M ^d  

^a CNIT   (Italy)

^b UNIVERSITY OF FLORENCE   (Italy)

^c POLITECNICO DI TORINO   (Italy)

^d UNIVERSITY OF SIENA   (Italy)

Author keywords

bisection method; constrained minimization; counter forensics; feature decomposition; feature injection; gradient descent; mage forensics; numerical computation

Indexed keywords

MOLECULAR PHYSICS;

BISECTION METHOD; CONSTRAINED MINIMIZATION; COUNTER-FORENSICS; FEATURE DECOMPOSITION; GRADIENT DESCENT; MAGE FORENSICS; NUMERICAL COMPUTATIONS;

ENGINEERING;

EID: 84900444491     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2042234     Document Type: Conference Paper

References (24)

1. Piva, A., An overview on image forensics, ISRN Signal Processing 2013, Article ID 496701, 22 pages (2013)
2. Bohme, R. and Kirchner, M., [Counter-Forensics: Attacking Image Forensics], 327-366, Springer-Verlag (2013)
3. Kirchner, M. and Bohme, R., Hiding traces of resampling in digital images, IEEE Transactions on Information Forensics and Security 3(4), 582-592 (2008)
4. Popescu, A. C. and Farid, H., Exposing digital forgeries by detecting traces of re-sampling, IEEE Transactions on Signal Processing 53(2), 758-767 (2005)
5. Gloe, T., Kirchner, M., Winkler, A., and Bohme, R., Can we trust digital image forensics?, in [International Conference on Multimedia], 78-86 (2007)
6. Goljan, M., Fridrich, J., and Chen, M., Defending against fingerprint-copy attack in sensor-based camera identification, IEEE Transactions on Information Forensics and Security 6(1), 227-236 (2011)
7. Caldelli, R., Amerini, I., and Novi, A., An analysis on attacker actions in fingerprint-copy attack in source camera identification, in [IEEE International Workshop on Information Forensics and Security], (2011)
8. Kirchner, M. and Bohme, R., Synthesis of color filter array pattern in digital images, in [SPIE Conference on Media Forensics and Security], Delp, E. J., Dittmann, J., Memon, N., and Wong, P. W., eds. (2009)
9. Stamm, M., Tjoa, S., Lin, W. S., and Liu, K. J. R., Anti-forensics of JPEG compression, in [International Conference on Acoustics, Speech, and Signal Processing], 1694-1697 (2010)
10. Stamm, M. and Liu, K. J. R., Anti-forensics of digital image compression, IEEE Transactions on Information Forensics and Security 6(3), 1050-1065 (2011)
11. Lin, W. S., Tjoa, S., Zhao, H. V., and Liu, K. J. R., Digital image source coder forensics via intrinsic fingerprints, IEEE Transactions on Information Forensics and Security 4(3), 460-475 (2009)
12. Valenzise, G., Tagliasacchi, M., and Tubaro, S., The cost of JPEG compression anti-forensics, in [International Conference on Acoustics, Speech and Signal Processing], (2011)
13. Valenzise, G., Nobile, V., Tagliasacchi, M., and Tubaro, S., Countering JPEG anti-forensics, in [International Conference on Image Processing], (2011)
14. Lai, S. and Bohme, R., Countering counter-forensics: The case of JPEG compression, in [, 13th International Conference on Information Hiding], Filler, T., Pevny, T., Craver, S., and Ker, A., eds., 6958, 285-298, Springer- Verlag (2011)
15. Stamm, M., Tjoa, S., Lin, W. S., and Liu, K. J. R., Undetectable image tampering through JPEG compression anti-forensics, in [International Conference on Image Processing], (2010)
16. Fan, Z. and de Queiroz, R., Identification of bitmap compression history: JPEG detection and quantizer estimation, IEEE Transactions on Image Processing 12(2), 230-235 (2003)
17. Barni, M., Fontani, M., and Tondi, B., A universal technique to hide traces of histogram-based image manipulations, in [ACM Multimedia and Security Workshop], (2012)
18. Fan, W., Wang, K., Cayre, F., and Xiong, Z., A variational approach to JPEG anti-forensics, in [Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on], 3058-3062 (2013)
19. Fridrich, J., Digital image forensic using sensor noise, IEEE Signal Processing Magazine 26(2), 26-37 (2009)
20. Kivanc Mihcak, M., Kozintsev, I., and Ramchandran, K., Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising, in [Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on], 6, 3253-3256 vol.6 (mar 1999)
21. Chen, M., Fridrich, J., Goljan, M., and Lukas, J., Determining image origin and integrity using sensor noise, IEEE Transactions on Information Forensics and Security 3(1), 74-90 (2008)
22. Ferrara, P., Bianchi, T., De Rosa, A., and Piva, A., Image forgery localization via fine-grained analysis of CFA artifacts, IEEE Transactions on Information Forensics and Security 7(5), 1566 -1577 (2012)
23. Luo, W., Huang, J., and Qiu, G., JPEG error analysis and its applications to digital image forensics, IEEE Transactions on Information Forensics and Security 5(3), 480-491 (2010)
24. Kelley, T., [Iterative Methods for Optimization], SIAM (1999)