Conference item
Avoiding detection on twitter: embedding strategies for linguistic steganography
- 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 ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Society of Photo-optical Instrumentation Engineers Publisher's website
- Host title:
- ISandT International Symposium on Electronic Imaging 2016: Media Watermarking, Security, and Forensics
- Publication date:
- 2016-01-01
- ISSN:
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0277-786X
Item Description
- Pubs id:
-
pubs:602188
- UUID:
-
uuid:893731ab-6c38-447b-ab97-d3f555c4ccd7
- Local pid:
- pubs:602188
- Source identifiers:
-
602188
- Deposit date:
- 2016-02-13
Terms of use
- Copyright holder:
- Society for Imaging Science and Technology
- Copyright date:
- 2016
- Notes:
- ©2016 Society for Imaging Science and Technology. Published by Society of Photo-Optical Instrumentation Engineers (SPIE).
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