• DocumentCode
    588800
  • Title

    Steganalysis of PQ Based on the Histogram Difference between Coefficient Adjacent Positions

  • Author

    Yi Zhang ; Fenlin Liu ; Xiangyang Luo ; Jicang Lu

  • Author_Institution
    Dept. of Network Engeering, Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
  • fYear
    2012
  • fDate
    2-4 Nov. 2012
  • Firstpage
    955
  • Lastpage
    958
  • Abstract
    Steganalysis of PQ (Perturbed Quantization) steganography is a hot but intractable topic in information hiding detection. In this paper, a new steganalysis method of PQ is proposed. Based on the analysis of the embedding position selection mechanism used in PQ, the 63 AC (Alternating Current) coefficient positions of DCT block can be divided into two types: PT1 (Position Type 1, the positions may be used for embedding) and PT2 (Position Type 2, the positions will not be used for embedding). Two coefficient positions which belong to different types and adjacent in the horizontal or vertical direction are considered as a position pair, the histogram difference in each position pair will be changed after embedding, and it is extracted as features. The experimental results verify the effectiveness of the proposed method. Meanwhile, the multi-class combined features provide a more reliable result.
  • Keywords
    data encapsulation; feature extraction; steganography; AC coefficient positions; DCT block; PQ steganography; alternating current; coefficient adjacent position; embedding position selection mechanism; feature extraction; histogram difference; information hiding detection; perturbed quantization; steganalysis; Discrete cosine transforms; Feature extraction; Histograms; Image databases; Q factor; Quantization; Transform coding; PQ; histogram difference; position pair; steganalysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-3093-0
  • Type

    conf

  • DOI
    10.1109/MINES.2012.204
  • Filename
    6405739