A New Steganalysis Method Using High-pass Filter for JPEG Image

Author

Zhang, Han-ling ; Wang, Shu-yi

Author_Institution

Coll. of Comput. & Commun., Hunan Univ., Changsha

fYear

2008

fDate

3-5 Aug. 2008

Firstpage

165

Lastpage

168

Abstract

A new and universal steganalysis scheme for JPEG images was proposed. Moments in frequency domain of wavelet sub-bandpsilas histogram was extracted to analyze the difference of histogram between cover image and stego image, at the same time, used high-pass filter to strengthen the image in order to make the discontinuity among blocks become more obvious, so the extracted block characteristic will be more sensitive to the steganographic action. Then Support Vector Machine (SVM) was used to classify the extracted 40 dimensional feature vectors. The experimental results of 3 popular JPEG steganographic schemes (F5, Outguess and MB1) demonstrate that the proposed scheme has the advantage in detection rate and speed.

Keywords

cryptography; data encapsulation; image coding; support vector machines; wavelet transforms; JPEG image; JPEG steganographic schemes; high-pass filter; steganalysis method; steganographic action; stego image; support vector machine; wavelet subband histogram; Feature extraction; Filters; Frequency domain analysis; Histograms; Image analysis; Steganography; Support vector machine classification; Support vector machines; Wavelet analysis; Wavelet domain; High-pass filtering; JPEG images; Moments in frequency domain of histogram; Steganalysis; block characteristics.;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Commerce and Security, 2008 International Symposium on

Conference_Location

Guangzhou City

Print_ISBN

978-0-7695-3258-5

Type

conf

DOI

10.1109/ISECS.2008.120

Filename

4606047