Abstract
This paper describes methods for forensic characterization of scanners and printers. This is important in verifying the trust and authenticity of data and the device that created it. An overview of current forensic methods, along with current improvements of these methods is presented. Near-perfect identification of source scanner and printer is shown to be possible using these techniques.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Khanna, N., Mikkilineni, A.K., Martone, A.F., Ali, G.N., Chiu, G.T.C., Allebach, J.P., Delp, E.J.: A survey of forensic characterization methods for physical devices. Digital Investigation 3, 17–28 (2006)
Khanna, N., Mikkilineni, A.K., Chiu, G.T.C., Allebach, J.P., Delp, E.J.: Forensic classification of imaging sensor types. In: Proceedings of the SPIE International Conference on Security, Steganography, and Watermarking of Multimedia Contents IX. SPIE, vol. 6505, p. 65050U (2007)
Khanna, N., Chiu, G.T., Allebach, J.P., Delp, E.J.: Forensic techniques for classifying scanner, computer generated and digital camera images. In: Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, NV (March 2008)
Mikkilineni, A.K., Chiang, P.J., Ali, G.N., Chiu, G.T.C., Allebach, J.P., Delp, E.J.: Printer identification based on graylevel co-occurrence features for security and forensic applications. In: Proceedings of the SPIE International Conference on Security, Steganography, and Watermarking of Multimedia Contents VII, San Jose, CA, March, vol. 5681, pp. 430–440 (2005)
Lukas, J., Fridrich, J.J., Goljan, M.: Digital camera identification from sensor pattern noise. IEEE Transactions on Information Forensics and Security 1(2), 205–214 (2006)
Chen, M., Fridrich, J., Goljan, M., Lukas, J.: Determining image origin and integrity using sensor noise. IEEE Transactions on Information Forensics and Security 3(1), 74–90 (2008)
Khanna, N., Mikkilineni, A.K., Chiu, G.T.C., Allebach, J.P., Delp, E.J.: Scanner identification using sensor pattern noise. In: Proceedings of the SPIE International Conference on Security, Steganography, and Watermarking of Multimedia Contents IX. SPIE, vol. 6505, p. 65051K (2007)
Foi, A., Katkovnik, V., Egiazarian, K., Astola, J.: A novel local polynomial estimator based on directional multiscale optimizations. In: Proceedings of the 6th IMA Int. Conf. Math. in Signal Processing, vol. 5685, pp. 79–82 (2004)
Mikkilineni, A.K., Ali, G.N., Chiang, P.J., Chiu, G.T., Allebach, J.P., Delp, E.J.: Signature-embedding in printed documents for security and forensic applications. In: Proceedings of the SPIE International Conference on Security, Steganography, and Watermarking of Multimedia Contents VI, San Jose, CA, January, vol. 5306, pp. 455–466 (2004)
Ali, G.N., Chiang, P.J., Mikkilineni, A.K., Chiu, G.T.C., Delp, E.J., Allebach, J.P.: Application of principal components analysis and gaussian mixture models to printer identification. In: Proceedings of the IS&T’s NIP20: International Conference on Digital Printing Technologies, Salt Lake City, UT, October/November, vol. 20, pp. 301–305 (2004)
Mikkilineni, A.K., Arslan, O., Chiang, P.J., Kumontoy, R.M., Allebach, J.P., Chiu, G.T.C., Delp, E.J.: Printer forensics using svm techniques. In: Proceedings of the IS&T’s NIP21: International Conference on Digital Printing Technologies, Baltimore, MD, October, vol. 21, pp. 223–226 (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Khanna, N., Mikkilineni, A.K., Chiu, G.T.C., Allebach, J.P., Delp, E.J. (2008). Survey of Scanner and Printer Forensics at Purdue University. In: Srihari, S.N., Franke, K. (eds) Computational Forensics. IWCF 2008. Lecture Notes in Computer Science, vol 5158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85303-9_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-85303-9_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85302-2
Online ISBN: 978-3-540-85303-9
eBook Packages: Computer ScienceComputer Science (R0)