Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Science
  3. School of Computer Science
  4. Computer Science Research Collection
  5. Permutation Codes and Steganography
 
  • Details
Options

Permutation Codes and Steganography

Author(s)
Balado, Félix  
Haughton, David  
Uri
http://hdl.handle.net/10197/4369
Date Issued
2013-05-26
Date Available
2013-06-18T11:49:06Z
Abstract
We show that Slepian’s Variant I permutation codes implement first-order perfect steganography (i.e., histogram-preserving steganography). We give theoretical expressions for the embedding distortion, embedding rate and embedding efficiency of permutation codes in steganography, which demonstrate that these codes conform to prior
analyses of the properties of capacity-achieving perfect stegosystems with a passive warden. We also propose a modification of adaptive arithmetic coding that near optimally implements permutation coding with a low complexity, confirming all our theoretical predictions. Finally we discuss how to control the embedding distortion. Permutation
coding turns out to be akin to Sallee’s model-based steganography, and to supersede both this method and LSB matching.
Other Sponsorship
SFI Research Frontiers
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2013 IEEE
Subjects

Permutation coding

Histogram preservatio...

Arithmetic coding

Model-based steganogr...

LSB matching

DOI
10.1109/ICASSP.2013.6638199
Language
English
Status of Item
Peer reviewed
Journal
2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) [proceedings]
Conference Details
38th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, May, 2013
ISSN
1520-6149
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

2013031494809_301746_1011.pdf

Size

434.46 KB

Format

Adobe PDF

Checksum (MD5)

62f94ff9d3566a66b15997544eb97981

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement