Abstract
Nowadays most of the multimedia contents are in digital form. With the increased use of powerful computer and image processing software, along with wide availability of digital cameras have given rise to huge numbers of doctored images. Several forgery detection algorithms are available. However, these techniques do not address the issue from cryptographic point of view. As a result, even if an image or video is identified as doctored, most of the time it is not possible to track the actual offender. Here, we present a perceptual hash function which can be used for both detection of forged images as well as tracking of forgers.
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References
Birajdar, G.K., Mankar, V.H.: Digital image forgery detection using passive techniques: A survey. Digital Investigation 10(3), 226–245 (2013)
Goldfarb, B.: Digital deception, http://brucegoldfarb.com/larrysface/deception.shtml (accessed on June 2014)
Gray, F.: Pulse code communication. U.S. Patent 2,632,058; (filed on November 13, 1947) (issued March 17, 1953)
Kailasanathan, C., Naini, R.S., Ogunbona, P.: Image authentication surviving acceptable modifications. In: Proc. of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Baltimore, MD (2001)
Sencar, H.T., Memon, N.: Overview of state-of-the-art in digital image forensics. In: Indian Statistical Institute Platinum Jubilee Monograph series titled ‘Statistical Science and Interdisciplinary Research’, pp. 325–348. World Scientific Press (2008)
Swaminathan, A., Mao, Y., Wu, M.: Robust and secure image hashing. IEEE Transactions on Information Forensics and Security 1(2), 215–230 (2006)
Vetterli, M., Kovacevic, J.: Wavelets and subband coding. Prentice-Hall (1995)
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Das, T.K., Bhunre, P.K. (2015). A Secure Image Hashing Technique for Forgery Detection. In: Natarajan, R., Barua, G., Patra, M.R. (eds) Distributed Computing and Internet Technology. ICDCIT 2015. Lecture Notes in Computer Science, vol 8956. Springer, Cham. https://doi.org/10.1007/978-3-319-14977-6_34
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DOI: https://doi.org/10.1007/978-3-319-14977-6_34
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14976-9
Online ISBN: 978-3-319-14977-6
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