Classification Method of Jsteg Stego-Images and F5 Stego-Image

Author

Zhang, Qian ; Liu, Yuan ; Zhang, Shijie ; Chen, Ke

Author_Institution

Inf. Sci. & Technol. Inst., Zhengzhou, China

fYear

2009

fDate

7-9 Dec. 2009

Firstpage

394

Lastpage

397

Abstract

Jsteg and F5 are two typical steganography methods of JPEG images and have been used widely. To distinguish F5 stego images and Jsteg stego images, a classification algorithm based on sensitive features and SVM classifier is presented, where the sensitive features are extracted from the subband coefficients of those stego-images and the subband coefficients are obtained by wavelet packet decomposition. Experimental results show that the proposed method can distinguish the Jsteg stego-images from F5 stego-images reliably.

Keywords

data compression; image classification; image coding; steganography; support vector machines; F5 stego-image; JPEG images; Jsteg stego-image classification method; SVM classifier; steganography methods; subband coefficients; support vector machines; wavelet packet decomposition; Classification algorithms; Cryptography; Discrete cosine transforms; Feature extraction; Information science; Steganography; Support vector machine classification; Support vector machines; Testing; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-1-4244-5543-0

Type

conf

DOI

10.1109/ICICIC.2009.138

Filename

5412264