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http://dx.doi.org/10.13089/JKIISC.2016.26.2.359

Building a Database of DQT Information to Identify a Source of the SmartPhone JPEG Image File  

Kim, MinSik (Graduate School of Information Security, Korea University)
Jung, Doowon (Graduate School of Information Security, Korea University)
Lee, Sang-jin (Graduate School of Information Security, Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.26, no.2, 2016 , pp. 359-367 More about this Journal
Abstract
As taking pictures by using smartphones has become more common in society, there are many incidents which are unexpected manipulation of images and leak of confidential information. Because of those incidents, demands that identify forgery/alteration of image file and proves of the original copy is constantly increasing. In general, smartphone saves image file as JPEG form and it has DQT which determines a compression rate of image in a header part of image. There is also DQT in Thumbnail image which inside of JPEG. In previous research, it identified a smartphone which take image by only using DQT, However, the research has low accuracy to identify the devices. There are two main purposes in this research. First, this research will analogize a smartphone and an application that takes a picture, edits and save an image file by testing not only about a DQT information but also a information of Thumbnail image. Second, the research will build a database of DQT and Thumbnail information in JPEG file to find more accurate image file's origin.
Keywords
JPEG; DQT; Thumbnail; SmartPhone; Image;
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1 Orozco, Ana Lucila Sandoval, et al, "Analysis of errors in exif metadata on mobile devices," Multimedia Tools and Applications, vol. 74, no. 13, pp. 4735-4763, July 2015   DOI
2 Kornblum, Jesse D, "Using JPEG quantization tables to identify imagery processed by software," Digital Investigation 5, pp. S21-S25, Sep 2008   DOI
3 Lukas, Jan, Jessica Fridrich, and Miroslav Goljan, "Digital camera identification from sensor pattern noise," Information Forensics and Security, IEEE Transactions on, vol. 1, no. 2, pp. 205-214, June 2006   DOI
4 Li, Chang-Tsun, "Source camera identification using enhanced sensor pattern noise," Information Forensics and Security, IEEE Transactions on, vol. 5, no. 2, pp. 280-287, June 2010   DOI
5 Goljan, Miroslav, Mo Chen, and Jessica Fridrich, "Identifying common source digital camera from image pairs," ICIP 2007, vol. 6, pp. 125-128, Sep 2007
6 Chen, Mo, et al, "Source digital camcorder identification using sensor photo response non-uniformity," Electronic Imaging 2007, pp. 65051G-65051G, Feb 2007
7 Bayram, Sevinc, et al, "Source camera identification based on CFA interpolation," ICIP 2005, vol. 3, pp. 69-72, Sep 2005
8 Soobhany, A-R, et al, "Mobile Camera Source Identification with SVD," Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering, vol. 313, pp. 123-131, 2015
9 S Hamdy, "Quantization Table Estimation in JPEG Images," International Journal of Advanced Computer Science and Applications, vol. 1, no. 6, pp. 17-23, Dec 2010
10 Thai, Thanh Hai, Florent Retraint, and Remi Cogranne, "Camera model identification based on the generalized noise model in natural images," Digital Signal Processing, vol. 48, pp. 285-297, Jan 2016   DOI
11 Lee, Sang-Hyeong, et al, "Digital Camera Identification Using Sensor Pattern Noise," The Second International Conference on Information Security and Digital Forensics 2015, pp. 30, 2015