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Digital Imaging Source Identification Using Sensor Pattern Noises
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 Title & Authors
Digital Imaging Source Identification Using Sensor Pattern Noises
Oh, Tae-Woo; Hyun, Dai-Kyung; Kim, Ki-Bom; Lee, Hae-Yeoun;
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 Abstract
With the advance of IT technology, contents from digital multimedia devices and softwares are widely used and distributed. However, novice uses them for illegal purpose and hence there are needs for protecting contents and blocking illegal usage through multimedia forensics. In this paper, we present a forensic technique for identifying digital imaging source using sensor pattern noise. First, the way to acquire the sensor pattern noise which comes from the imperfection of photon detector against light is presented. Then, the way to identify the similarity of digital imaging sources is explained after estimating the sensor pattern noises from the reference images and the unknown image. For the performance analysis of the proposed technique, 10 devices including DSLR camera, compact camera, smartphone and camcorder are tested and quantitatively analyzed. Based on the results, the proposed technique can achieve the 99.6% identification accuracy.
 Keywords
Multimedia Forensic;Sensor Pattern Noise;Imaging Source Identification;
 Language
Korean
 Cited by
 References
1.
J. Lukas, J. Fridrich, and M. Goljan, "Digital camera identification from sensor pattern noise," IEEE Transactions on Information Forensics Security, Vol.1, No.2, pp. 205-214, Jun., 2006. crossref(new window)

2.
M. Chen, J. Fridrich, and M. Goljan, "Source digital camcorder identification using ccd photo response non-uniformity," Proceedings of SPIE Electronic Imaging, Security, Steganography, and Watermarking of Multimedia Contents IX, San Jose, CA, pp.1G-1H, 2007.

3.
M. Golian, "Digital camera identification from images- estimating false acceptance probability," Lecture Notes in Computer Science, Vol.5450, pp.454-468, 2009.

4.
S. Bayram, H. T. Sencar, N. Memon, and I. Avcibas, "Source Camera Identification Based on CFA Interpolation," Proceedings of IEEE International Conference on Image Processing(ICIP), pp.69-72, 2005.

5.
S. Bayram, H. T. Sencar, N. Memon, and I. Avcibas, "Source Camera Identification Based on CFA Interpolation," Proceedings of IEEE International Conference on Image Processing (ICIP), pp.69-72, 2005.

6.
W. van Houten and Z. Geradts, "Source video camera identification for multiply compressed videos originating from YouTube," Digital Investigation, Vol.6, pp.48-60, 2009. crossref(new window)

7.
K. Kuroki, K. Kurosawa, and N. Saitoh, "An Approach to Individual Video Camera Identification," Journal of Forensic Sciences, Vol.47, No.1, pp.97-102, 2002.

8.
A. C. Popescu and H. Farid, "Exposing Digital Forgeries by Detecting Traces of Resampling," IEEE Transactions on Signal Processing, Vol.53, No.2, pp.758-767, Feb., 2005. crossref(new window)

9.
W. Wang and H. Farid, "Exposing Digital Forgeries in Video by Detecting Double MPEG Compression," Proceedings of the 8th workshop on ACM Multimedia and security, pp.37-47, 2006.

10.
D.-K. Hyun, S.-J. Ryu, H.-Y. Lee, and H.-K. Lee, "Detection of Upscale-Crop and Partial Manipulation in Surveillance Video based on Sensor Pattern Noise," Sensors, Vol.13, No.9, pp.12605-12631, Sep., 2013. crossref(new window)

11.
C. H. Choi, H.-Y. Lee, and H.-K. Lee, "Estimation of Color Modification in Digital Images by CFA Pattern Change," Forensic Science International, An International Journal, Elsevier, Vol.226, Issue.1-3, pp.94-105, Mar., 2013. crossref(new window)

12.
J.-W. Lee, M.-J. Lee, H.-Y. Lee, and H.-K. Lee, "Screenshot Identification by Analysis of Directional Inequality of Interlaced Video," EURASIP Journal on Image and Video Processing, Springer, Vol.2012, No.7, pp.1-15, May, 2012. crossref(new window)

13.
C.-T. Li, "Source Camera Identification Using Enhanced Sensor Pattern Noise," IEEE Transactions on Information Forensics Security, Vol.5, No.2, pp.280-287, Jun., 2010. crossref(new window)