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Proceedings Paper

Intrinsic fingerprints for image authentication and steganalysis
Author(s): Ashwin Swaminathan; Min Wu; K. J. Ray Liu
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Paper Abstract

With growing popularity of digital imaging devices and low-cost image editing software, the integrity of image content can no longer be taken for granted. This paper introduces a methodology for forensic analysis of digital camera images, based on the observation that many in-camera and post-camera processing operations leave distinct traces on digital images. We present methods to identify these intrinsic fingerprint traces of the various processing operations and employ them to verify the authenticity of digital data. We develop an explicit imaging model to characterize the properties that should be satisfied by a direct camera output, and model any further processing applied to the camera captured image by a manipulation filter. Utilizing the manipulation filter coefficients and reference patterns estimated from direct camera outputs using blind deconvolution techniques, the proposed methods are capable of detecting manipulations made by previously unseen operations and steganographic embedding.

Paper Details

Date Published: 27 February 2007
PDF: 10 pages
Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 65051J (27 February 2007); doi: 10.1117/12.704696
Show Author Affiliations
Ashwin Swaminathan, Univ. of Maryland, College Park (United States)
Min Wu, Univ. of Maryland, College Park (United States)
K. J. Ray Liu, Univ. of Maryland, College Park (United States)


Published in SPIE Proceedings Vol. 6505:
Security, Steganography, and Watermarking of Multimedia Contents IX
Edward J. Delp; Ping Wah Wong, Editor(s)

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