Blind JPEG Steganalysis Using Features Derived from Multi-Domain

Abstract:

Article Preview

In this paper, a new blind steganalytic scheme is proposed to effectively detect JPEG steganography. In DCT domain, the co-occurrence matrices are used to capture the intra-block and inter-block correlations among the quantized coefficients. In spatial domain, we estimate the invariant components of the decompressed raw pixels between the cover and stego images by wiping selected intermediate frequency AC coefficients, and collect eighteen statistics in total. Combining the DCT and spatial features leads to be more effective for classification. The experimental results have demonstrated that the proposed method is stable, and outperforms the recently reported steganalysis in attacking the advanced JPEG steganography.

Info:

Periodical:

Edited by:

Shaobo Zhong, Yimin Cheng and Xilong Qu

Pages:

693-699

DOI:

10.4028/www.scientific.net/AMM.50-51.693

Citation:

W. Q. Yu et al., "Blind JPEG Steganalysis Using Features Derived from Multi-Domain", Applied Mechanics and Materials, Vols. 50-51, pp. 693-699, 2011

Online since:

February 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.