A survey of forensic characterization methods for physical devices-Reference-Cited by-同舟云学术

A survey of forensic characterization methods for physical devices

Published:2006-09 Issue: Volume:3 Page:17-28
ISSN:1742-2876
Container-title:Digital Investigation
language:en
Short-container-title:Digital Investigation

Author:

Khanna Nitin,Mikkilineni Aravind K.,Martone Anthony F.,Ali Gazi N.,Chiu George T.-C.,Allebach Jan P.,Delp Edward J.

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications

Reference35 articles.

1. Ali GN, Chiang P-J, Mikkilineni AK, Allebach JP, Chiu GT-C, Delp EJ. Intrinsic and extrinsic signatures for information hiding and secure printing with electrophotographic devices. In: Proceedings of the IS&T's NIP19: International Conference on Digital Printing Technologies, vol. 19. New Orleans, LA; September 2003. p. 511–5.

2. Ali GN, Chiang P-J, Mikkilineni AK, Chiu GT-C, Delp EJ, Allebach JP. 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, vol. 20. Salt Lake City, UT; October/November 2004. p. 301–5.

3. Arslan O, Kumontoy RM, Chiang P-J, Mikkillineni AK, Allebach JP, Chiu GT-C, et al. Identification of inkjet printers for forensic applications. In: Proceedings of the IS&T's NIP21: International Conference on Digital Printing Technologies, vol. 21. Baltimore, MD; October 2005. p. 235–8.

4. Avcibas I, Memon ND, Ramkumar M, Sankur B. A classifier design for detecting image manipulations. In: Proceedings of the IEEE International Conference on Image Processing; 2004. p. 2645–8.

5. Bayram S, Sencar H, Memon N, Avcibas I. Source camera identification based on cfa interpolation. In: Proceedings of the IEEE International Conference on Image Processing; 2005. p. 69–72.

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