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Steganography
Volume: 28 | Article ID: art00010
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Avoiding detection on twitter: embedding strategies for linguistic steganography
  DOI :  10.2352/ISSN.2470-1173.2016.8.MWSF-074  Published OnlineFebruary 2016
Abstract

Any serious steganography system should make use of coding. Here, we investigate the performance of our prior linguistic steganographic method for tweets, combined with perfect coding. We propose distortion measures for linguistic steganography, the first of their kind, and investigate the best embedding strategy for the steganographer. These distortion measures are tested with fully automatically generated stego objects, as well as stego tweets filtered by a human operator. We also observed a square root law of capacity in this linguistic stegosystem.

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Alex Wilson, Andrew D. Ker, "Avoiding detection on twitter: embedding strategies for linguistic steganographyin Proc. IS&T Int’l. Symp. on Electronic Imaging: Media Watermarking, Security, and Forensics,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.8.MWSF-074

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Copyright © Society for Imaging Science and Technology 2016
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