Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography

Author

Liu, Qingzhong ; Sung, Andrew H. ; Xu, Jianyun ; Ribeiro, Bernardete M.

Author_Institution

Dept. of Comput. Sci., New Mexico Tech, Socorro, NM

Volume

2

fYear

0

fDate

0-0 0

Firstpage

267

Lastpage

270

Abstract

In this paper, we present a scheme for steganalysis of LSB matching steganography based on feature extraction and pattern recognition techniques. Shape parameter of generalized Gaussian distribution (GGD) in the wavelet domain is introduced to measure image complexity. Several statistical pattern recognition algorithms are applied to train and classify the feature sets. Comparison of our method and others indicates our method is highly competitive. It is highly efficient for color image steganalysis. It is also efficient for grayscale steganalysis in the low image complexity domain

Keywords

Gaussian distribution; computational complexity; cryptography; feature extraction; image coding; image colour analysis; image matching; statistical analysis; wavelet transforms; LSB matching steganography; color image steganalysis; feature extraction; generalized Gaussian distribution; grayscale steganalysis; image complexity; statistical pattern recognition; wavelet domain; Computer science; Feature extraction; Gaussian distribution; Gray-scale; Maximum likelihood estimation; Pattern matching; Pattern recognition; Shape measurement; Steganography; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.684

Filename

1699198