Back to articles
Steganography
Volume: 28 | Article ID: art00010
Image
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.

Subject Areas :
Views 42
Downloads 6
 articleview.views 42
 articleview.downloads 6
  Cite this article 

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

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology