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Blind Statistical Steganalysis of Additive Steganography Using Wavelet Higher Order Statistics

  • Taras Holotyak
  • Jessica Fridrich
  • Sviatoslav Voloshynovskiy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3677)

Abstract

Development of digital communications systems significantly extended possibility to perform covert communications (steganography). This recalls an emerging demand in highly efficient counter-measures, i.e. steganalysis methods. Modern steganography is presented by a broad spectrum of various data-hiding techniques. Therefore development of corresponding steganalysis methods is rather a complex problem and challenging task. Moreover, in many practical steganalysis tasks second Kerckhoff’s principle is not applicable because of absence of information about the used steganography method. This motivates to use blind steganalysis, which can be applied to the certain techniques where one can specify at least statistics of the hidden data. This paper focuses on the class of supervised steganalysis techniques developed for the additive steganography, which can be described as y = f(xsK= x + g(sK), where stego image y is obtained from the cover image x by adding a low-amplitude cover image independent ((1 embedding also known as LSB matching) or cover image dependent (LSB embedding) stego signals that may be also depended on secret stego key K and the secret data s. The function g(.) represents the embedding rule.

Keywords

Cover Image Secret Data Hide Data Stego Image Digital Communication System 
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.

Copyright information

© IFIP International Federation for Information Processing 2005

Authors and Affiliations

  • Taras Holotyak
    • 1
  • Jessica Fridrich
    • 1
  • Sviatoslav Voloshynovskiy
    • 2
  1. 1.Department of Electrical and Computer EngineeringState University of New York at, BinghamtonBinghamtonUSA
  2. 2.Department of Computer ScienceUniversity of GenevaGeneva 4Switzerland

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