Detect LSB Steganography with Bit Plane Randomness Tests

Author

Chen, Xiang-dong ; Sun, Feng ; Sun, Wei

Author_Institution

Inst. of Commun. Eng., PLA Univ. of Sci. & Tech., Nanjing

Volume

2

fYear

0

fDate

0-0 0

Firstpage

10306

Lastpage

10309

Abstract

We present a novel steganalytic technique for images that have been embedded hidden messages with LSB type steganographic algorithms. Two binary sequences is obtained by scanning the seventh and eighth bit planes of the image with Hilbert scan, then the randomness of this two sequences are tested by several randomness tests respectively. The key idea is that, the randomness of the bit planes will differ between a stego-image and a cover-image. The results of the randomness tests are used as image attributes to construct a classifier to distinguish between stego and cover images. The experiments show the detection accuracy of our method is higher than 95% to stego images with a embed rate higher than 0.05 bits per pixel. The experiments also show our method is effective to some frequency domain steganographic algorithms such as F5

Keywords

binary sequences; data encapsulation; image coding; support vector machines; Hilbert scan; LSB steganography detection; binary sequences; bit plane randomness tests; cover image; steganalytic technique; stego image; supporting vector machine; Binary sequences; Digital images; Frequency domain analysis; Pixel; Programmable logic arrays; Steganography; Sun; Support vector machine classification; Support vector machines; Testing; steganography staganalysis randomness test supporting vector machine (svm);

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714020

Filename

1714020