Title :
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
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;
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
DOI :
10.1109/ICICIC.2009.138
