A Method of Universal Steganalysis Using Independence with Image Format

DOI

10.2991/icmt-13.2013.41How to use a DOI?

Keywords

Universal steganalysis•Contourlet•Joint probability density•Multi-domain feature•Independence of image formats

Abstract

A new universal steganalysis method based on statistical characteristic of multi-domain features extraction is proposed in this paper, mainly aimed at detecting hidden information in images with multiple common formats. Features are firstly extracted in contourlet domain and extended to spatial domain afterwards, by calculating correlation between DCT (discrete cosine transform) coefficients using joint probability density and calculating distribution of coefficients in image using co-occurrence matrix. The experimental results shows that the proposed method has better detection effects on images with different steganography carriers, and achieves higher independence of image formats and better average detection effects compared with typical universal steganalysis algorithms at present.

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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TY  - CONF
AU  - Zhang Qiuyu
AU  - Shang Qichang
AU  - Dong Ruihong
AU  - Yan Yan
AU  - Zuo Hangzhou
PY  - 2013/11
DA  - 2013/11
TI  - A Method of Universal Steganalysis Using Independence with Image Format
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 334
EP  - 343
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.41
DO  - 10.2991/icmt-13.2013.41
ID  - Qiuyu2013/11
ER  -