Digital Imaging Source Identification Using Sensor Pattern Noises


KIPS Transactions on Software and Data Engineering, Vol. 4, No. 12, pp. 561-570, Dec. 2015
10.3745/KTSDE.2015.4.12.561,   PDF Download:

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.


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Cite this article
[IEEE Style]
T. W. Oh, D. K. Hyun, K. B. Kim, H. Y. Lee, "Digital Imaging Source Identification Using Sensor Pattern Noises," KIPS Transactions on Software and Data Engineering, vol. 4, no. 12, pp. 561-570, 2015. DOI: 10.3745/KTSDE.2015.4.12.561.

[ACM Style]
Tae Woo Oh, Dai Kyung Hyun, Ki Bom Kim, and Hae Yeoun Lee. 2015. Digital Imaging Source Identification Using Sensor Pattern Noises. KIPS Transactions on Software and Data Engineering, 4, 12, (2015), 561-570. DOI: 10.3745/KTSDE.2015.4.12.561.