Attacking the triangle test in sensor-based camera identification

2014 IEEE International Conference on Image Processing, ICIP 2014

Volumn , Issue , 2014, Pages 5307-5311

  Marra, F ^a   Roli, F ^a   Cozzolino, D ^b   Sansone, C ^b   Verdoliva, L ^b  

^a UNIVERSITY OF CAGLIARI   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

anti forensics; Counter forensics; PRNU; sensor pattern noise; source camera identification

Indexed keywords

ANTI-FORENSICS; COUNTER-FORENSICS; PRNU; SENSOR PATTERN NOISE; SOURCE CAMERA IDENTIFICATIONS;

IMAGE PROCESSING;

EID: 84931044559     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2014.7026074     Document Type: Conference Paper

References (15)

1. H. Farid, "Image Forgery Detection," IEEE Signal Processing Magazine, vol. 26, no. 2, pp. 16-25, 2009.
2. R. Böhme and M. Kirchner, "Counter-Forensics: Attacking Image Forensics," H. T. Sencar and N. Memon (eds.): Digital Image Forensics, 2012.
3. J. Lukás, J. Fridrich and M. Goljan "Determining digital image origin using sensor imperfections," SPIE Electronic Imaging, Image and Video Communication and Processing, vol. 5685, pp. 249-260, 2005.
4. M. Chen, J. Fridrich, M. Goljan and J. Lukás, "Determining image origin and integrity using sensor noise," IEEE Transactions on Information Forensics and Security, vol. 3, no. 1, pp. 74-90, mar. 2008.
5. C.-T. Li, "Source camera identification using enhanced sensor pattern noise," IEEE Transactions on Information Forensics and Security, vol. 5, no. 2, pp. 280-287, jun. 2010.
6. Y. Tomioka, Y. Ito and H. Kitazawa, "Robust Digital Camera Identification Based on Pairwise Magnitude Relations of Clustered Sensor Pattern Noise," IEEE Transactions on Information Forensics and Security, vol. 8, no. 12, pp. 1986-1995, dec. 2013.
7. J. Lukás, J. Fridrich and M. Goljan "Detecting digital image forgeries using sensor pattern noise," SPIE, Electronic Imaging, Security, Steganography and Watermarking of Multimedia Contents VIII, vol. 6072, pp. 362-372, 2006.
8. G. Chierchia, G. Poggi, C. Sansone and L. Verdoliva, "A Bayesian-MRF approach for PRNU-based image forgery detection," IEEE Transactions on Information Forensics and Security, vol. 9, no. 4, pp. 554-567, apr. 2014.
9. T. Gloe, M. Kirchner, A. Winkler and R. Böhme, "Can we trust digital image forensics," ACM 15th Int. Conf. Multimedia, pp. 78-86, 2007.
10. M. Goljan, J. Fridrich and M. Chen, "Defending Against Fingerprint-Copy Attack in Sensor-Based Camera Identification," IEEE Transactions on Information Forensics and Security, vol. 6, no. 1, pp. 227-236, mar. 2011.
11. H. Zeng, X. Kang and J. Huang, "Mixed-strategy Nash Equilibrium in the Camera Source Identification," IEEE International Conference on Image Processing (ICIP), pp. 4472-4476, 2013.
12. R. Caldelli, I. Amerini and A. Novi, "An analysis on attacker actions in fingerprint-copy attack in source camera identification," IEEE Workshop on Information Forensics and Security (WIFS), pp. 1-6, 2011.
13. Q. Rao, H. Li, W. Luo and J. Huang, "Anti-Forensics of the Triangle Test by Random Fingerprint-Copy Attack," Computational Visual Media Conference, pp. 1-6, 2013.
14. M. K. Mihcak, I. Kozintsev and K. Ramchandran, "Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising," IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), pp. 3253-3256, 1999.
15. T. Gloe and R. Böhme, "The Dresden Image Database for Benchmarking Digital Image Forensics Categories and Subject Descriptors," ACM Symposium on Applied Computing, pp. 1584-1590, 2010.