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Steganalysis of stochastic modulation steganography

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Abstract

Stochastic modulation steganography embeds secret message within the cover image by adding stego-noise with a specific probabilistic distribution. No method is known to be applicable to the estimation of stochastic modulation steganography. By analyzing the distributions of the horizontal pixel difference of images before and after stochastic modulation embedding, we present a new steganalytic approach to accurately estimate the length of secret message in stochastic modulation steganography. The proposed method first establishes a model describing the statistical relationship among the differences of the cover image, stego-image and stego-noise. In the case of stego-image-only steganalysis, rough estimate of the distributional parameters of the cover image’s pixel difference is obtained with the use of the provided stego-image. And grid search and Chi-square goodness of fit test are exploited to estimate the length of the secret message embedded with stochastic modulation steganography. The experimental results demonstrate that our new approach is effective for steganalyzing stochastic modulation steganography and accurately estimating the length of the secret message.

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Authors and Affiliations

  1. School of Information Science and Technology, Sun Yat-sen University, Guangzhou, 510275, China

    He Junhui & Huang Jiwu

  2. Guangdong Province Key Laboratory of Information Security, Guangzhou, 510275, China

    He Junhui & Huang Jiwu

Authors
  1. He Junhui
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  2. Huang Jiwu
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Correspondence to Huang Jiwu.

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He, J., Huang, J. Steganalysis of stochastic modulation steganography. SCI CHINA SER F 49, 273–285 (2006). https://doi.org/10.1007/s11432-006-0273-x

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  • DOI: https://doi.org/10.1007/s11432-006-0273-x

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