Paper Title:
Blind JPEG Steganalysis Using Features Derived from Multi-Domain
  Abstract

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, Z. Li, L. D. Ping, "Blind JPEG Steganalysis Using Features Derived from Multi-Domain", Applied Mechanics and Materials, Vols. 50-51, pp. 693-699, 2011
Online since
February 2011
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