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A method for automatic identification of signatures of steganography software

Bell, G. and Lee, Y-K. (2010) A method for automatic identification of signatures of steganography software. IEEE Transactions on Information Forensics and Security, 5 (2). pp. 354-358.

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    Link to Published Version: http://dx.doi.org/10.1109/TIFS.2010.2046985
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    Abstract

    A fully automated, blind, media-type agnostic approach to steganalysis is presented here. Steganography may sometimes be exposed by detecting automatically characterized regularities in output media caused by weak implementations of steganography algorithms. Fast and accurate detection of steganography is demonstrated experimentally here across a range of media types and a variety of steganography approaches.

    Publication Type: Journal Article
    Murdoch Affiliation: School of Information Technology
    Publisher: IEEE
    Copyright: © 2010 IEEE
    Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    URI: http://researchrepository.murdoch.edu.au/id/eprint/1898
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