Feature-based forensic camera model identification

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

Volumn 7228 LNCS, Issue , 2012, Pages 42-62

  Gloe, Thomas ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; PATTERN RECOGNITION; SECURITY OF DATA;

CAMERA MODEL IDENTIFICATIONS; COLOUR FEATURES; COMPREHENSIVE EVALUATION; FORENSIC TECHNIQUES; RELIABLE RESULTS; SETS OF FEATURES; SOURCE MODELING; STATE OF THE ART;

DIGITAL FORENSICS;

EID: 84962435646     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31971-6_3     Document Type: Conference Paper

References (26)

1. Böhme, R., Freiling, F., Gloe, T., Kirchner, M.: Multimedia Forensics Is Not Computer Forensics. In: Geradts, Z.J.M.H., Franke, K.Y., Veenman, C.J. (eds.) IWCF 2009. LNCS, vol. 5718, pp. 90–103. Springer, Heidelberg (2009)
2. Khanna, N., Mikkilineni, A.K., Chiu, G.T.C., Allebach, J.P., Delp, E.J.: Forensic classification of imaging sensor types. In: Delp, E.J., Wong, P.W. (eds.) Proceedings of SPIE: Security and Watermarking of Multimedia Content IX, vol. 6505, p. 65050U (2007)
3. Lyu, S., Farid, H.: How realistic is photorealistic? IEEE Transactions on Signal Processing 53(2), 845–850 (2005)
4. Fridrich, J.: Digital image forensics. IEEE Signal Processing Magazine 26(2), 26–37 (2009)
5. Gloe, T., Franz, E., Winkler, A.: Forensics for flatbed scanners. In: Delp, E.J., Wong, P.W. (eds.) Proceedings of SPIE: Security, Steganography, and Watermarking of Multimedia Contents IX, vol. 6505, p. 65051I (2007)
6. Gou, H., Swaminathan, A., Wu, M.: Robust scanner identification based on noise features. In: Delp, E.J., Wong, P.W. (eds.) Proceedings of SPIE: Security and Watermarking of Multimedia Content IX, vol. 6505, p. 65050S (2007)
7. Khanna, N., Mikkikineni, A.K., Chiu, G.T.C., Allebach, J.P., Delp, E.J.: Scanner identification using sensor pattern noise. In: Delp, E.J., Wong, P.W. (eds.) Proceedings of SPIE: Security and Watermarking of Multimedia Content IX, vol. 6505, p. 65051K (2007)
8. Goljan, M., Fridrich, J., Filler, T.: Large scale test of sensor fingerprint camera identification. In: Delp, E.J., Dittmann, J., Memon, N., Wong, P.W. (eds.) Proceedings of SPIE: Media Forensics and Security XI, vol. 7254, pp. 7254–18 (2009)
9. Johnson, M.K., Farid, H.: Exposing digital forgeries through chromatic aberration. In: Proceedings of the Multimedia and Security Workshop (MM&Sec 2006), pp. 48–55 (2006)
10. Gloe, T., Borowka, K., Winkler, A.: Efficient estimation and large-scale evaluation of lateral chromatic aberration for digital image forensics. In: Memon, N.D., Dittmann, J., Alattar, A.M., Delp, E.J. (eds.) Proceedings of SPIE: Media Forensics and Security II, vol. 7541, pp. 7541–7 (2010)
11. Swaminathan, A., Wu, M., Liu, K.J.R.: Nonintrusive component forensics of visual sensors using output images. IEEE Transactions on Information Forensics and Security 2(1), 91–106 (2007)
12. Cao, H., Kot, A.C.: Accurate detection of demosaicing regularity for digital image forensics. IEEE Transactions on Information Forensics and Security 4(4), 899–910 (2009)
13. Farid, H.: Digital image ballistics from JPEG quantization: A followup study. Technical Report TR2008-638, Department of Computer Science, Dartmouth College, Hanover, NH, USA (2008)
14. Kee, E., Johnson, M.K., Farid, H.: Digital image authentication from JPEG headers. IEEE Transactions on Information Forensics and Security 6(3), 1066–1075 (2011)
15. Kharrazi, M., Sencar, H.T., Memon, N.: Blind source camera identification. In: Proceedings of the 2004 IEEE International Conference on Image Processing (ICIP 2004), pp. 709–712 (2004)
16. Çeliktutan, O., Avcibas, İ., Sankur, B.: Blind identification of cellular phone cameras. In: Delp, E.J., Wong, P.W. (eds.) Proceedings of SPIE: Security and Watermarking of Multimedia Content IX, vol. 6505, p. 65051H (2007)
17. Çeliktutan, O., Sankur, B., Avcibas, İ.: Blind identification of source cell-phone model. IEEE Transactions on Information Forensics and Security 3(3), 553–566 (2008)
18. Gloe, T., Borowka, K., Winkler, A.: Feature-Based Camera Model Identification Works in Practice – Results of a Comprehensive Evaluation Study. In: Katzenbeisser, S., Sadeghi, A.-R. (eds.) IH 2009. LNCS, vol. 5806, pp. 262–276. Springer, Heidelberg (2009)
19. Gloe, T., Böhme, R.: The ‘Dresden Image Database’ for benchmarking digital image forensics. In: Proceedings of the 25th Symposium on Applied Computing (ACM SAC), vol. 2, pp. 1585–1591 (2010)
20. Gloe, T., Cebron, N., Böhme, R.: An ML perspective on feature-based forensic camera model identification. In: DAGM Workshop Pattern Recognition for IT Security, Darmstadt, Germany, September 21 (2010)
21. Farid, H., Lyu, S.: Higher-order wavelet statistics and their application to digital forensics. In: IEEE Workshop on Statistical Analysis in Computer Vision (2003)
22. Avcıbaş, İ., Sankur, B., Sayood, K.: Statistical evaluation of image quality measures. Journal of Electronic Imaging 11(2), 206–223 (2002)
23. Avcibas, İ., Kharrazi, M., Memon, N.D., Sankur, B.: Image steganalysis with binary similarity measures. EURASIP Journal on Applied Signal Processing 2005(17), 2749–2757 (2005)
24. Chang, C.C., Lin, C.J.: LIBSVM: A library for support vector machines. Software (2001), http://www.csie.ntu.edu.tw/~cjlin/libsvm
25. Pudil, P., Novovičová, J., Kittler, J.: Floating search methods in feature selection. Pattern Recognition Letters 15(11), 1119–1125 (1994)
26. Schölkopf, B., Platt, J.C., Shawe-Taylor, J., Smola, A.J., Williamson, R.C.: Estimating the support of a high-dimensional distribution. Neural Computation 13(7), 1443–1471 (2001)