Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Steganalysis of LSB Matching in WAV Audio

Authors
Jie Zhang, Feng Du, Songbin Li
Corresponding Author
Jie Zhang
Available Online March 2013.
DOI
10.2991/iccsee.2013.258How to use a DOI?
Keywords
LSB matching, steganalysis, local correlation, wav-elet de-noising , support vector machine (SVM)
Abstract

To expose the existence of hidden message, this paper presents a steganalysis method for LSB (Least signify-cant bit) matching steganography in wav audio based on multi-order Markov feature. Noise sequences are extracted respectively based on two methods of local correlation and 5/3 wavelet de-noising, and then the correlation of noise sequence is quantified as multi-order Markov feature vectors. Based on the extracted feature vectors, a steganography detector based on support vector machine (SVM) is trained to identify whether the wav audio file carries hidden data. Experimental results show that detection accuracy can reach more than 80% even when the embedding rate is only 10%, which is far better than other method.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
10.2991/iccsee.2013.258How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jie Zhang
AU  - Feng Du
AU  - Songbin Li
PY  - 2013/03
DA  - 2013/03
TI  - Steganalysis of LSB Matching in WAV Audio
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1027
EP  - 1031
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.258
DO  - 10.2991/iccsee.2013.258
ID  - Zhang2013/03
ER  -