Steganalysis of perturbed quantization steganography based on the enhanced histogram features

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• 作者：Xiaofeng Song ; Fenlin Liu ; Xiangyang Luo ; Jicang Lu…
• 关键词：perturbed quantization steganography ; steganalysis ; histogram feature ; detection accuracy
• 刊名：Multimedia Tools and Applications
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：74
• 期：24
• 页码：11045-11071
• 全文大小：2,458 KB
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• 作者单位：Xiaofeng Song (1) (2)
  Fenlin Liu (1) (2)
  Xiangyang Luo (1) (2)
  Jicang Lu (1) (2)
  Yi Zhang (1) (2)
  
  1. Zhengzhou Information Science and Technology Institute, Zhengzhou, Henan, 450001, People鈥檚 Republic of China
  2. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, Henan, 450001, People鈥檚 Republic of China
  
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721

文摘

In this paper, the enhanced histogram features are proposed for detecting perturbed quantization (PQ) steganography applied to double-compression JPEG image. Firstly, the principle of PQ steganography is analyzed and the special positions for feature extraction are determined. Secondly, the changes of the global, local and dual histogram features are analyzed for PQ embedding, and then these histogram features are extracted from the DCT coefficients at the special positions. Thirdly, to improve the effectiveness and diversity of steganalysis feature, the three kinds of histogram features are also extracted from DCT coefficients difference. Lastly, all the histogram features are calibrated and combined as the enhanced histogram features, and the ensemble classifier is employed to obtain detection results. The experimental results show the proposed feature can improve the detection accuracy for PQ and PQt; for PQe, it can obtain approximate detection accuracy with Cartesian-calibrated JPEG rich model (CC-JRM), but the feature dimensionality is far below CC-JRM. Keywords perturbed quantization steganography steganalysis histogram feature detection accuracy