A Chosen Plaintext Steganalysis of Hide4PGP V 2.0

  • Debasis Mazumdar
  • Soma Mitra
  • Sonali Dhali
  • Sankar K. Pal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)


A chosen plaintext steganalysis algorithm is described to isolate the corrupted bits in an image tampered with Hide4PGP V 2.0. The method is developed from the notion of representation of two dimensional image data in terms of a linear bit stream consisting of a set of basic building blocks. Its performance for message extraction is demonstrated on different 24 bit BMP images.


Black Ball Symmetry Property Cover Image Basic Building Block Stego Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Dumitresu, S., Wu, X., Wang, Z.: Detection of LSB Steganography Via Sample Pair Analysis. In: Petitcolas, F.A.P. (ed.) IH 2002. LNCS, vol. 2578, pp. 355–372. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  2. 2.
    Johnson, N.F., Jajodia, S.: Steganalysis of Images Created Using Current Steganography Software. In: Aucsmith, D. (ed.) IH 1998. LNCS, vol. 1525, pp. 273–289. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  3. 3.
    Lyu, S., Farid, H.: Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines. In: Petitcolas, F.A.P. (ed.) IH 2002. LNCS, vol. 2578, pp. 340–354. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  4. 4.
    Westfeld, A.: Detecting Low Embedding Rates. In: Petitcolas, F.A.P. (ed.) IH 2002. LNCS, vol. 2578, pp. 324–339. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  5. 5.
    Johnson, M.K., Lyu, S., Farid, H.: Steganalysis in Recorded Speech. In: SPIE Symposium on Electronic Imaging, San Jose CA (2005)Google Scholar
  6. 6.

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Debasis Mazumdar
    • 1
  • Soma Mitra
    • 1
  • Sonali Dhali
    • 1
  • Sankar K. Pal
    • 2
  1. 1.CDAC,KolkataKolkata
  2. 2.Machine Intelligence UnitIndian Statistical InstituteKolkataIndia

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