Nonparametric steganalysis of QIM data hiding using approximate entropy

Hafiz Malik; K. P. Subbalakshmi; R. Chandramouli

doi:10.1117/12.767313

18 March 2008 Nonparametric steganalysis of QIM data hiding using approximate entropy

Hafiz Malik, K. P. Subbalakshmi, R. Chandramouli

Proceedings Volume 6819, Security, Forensics, Steganography, and Watermarking of Multimedia Contents X; 681914 (2008) https://doi.org/10.1117/12.767313
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

This paper proposes a nonparametric steganalysis method for quantization index modulation (QIM) based steganography. The proposed steganalysis method uses irregularity (or randomness) in the test-image to distinguish between the cover- and the stego-image. We have shown that plain-quantization (quantization without message embedding) induces regularity in the resulting quantized-image; whereas message embedding using QIM increases irregularity in the resulting QIM-stego image. Approximate entropy, an algorithmic entropy measure, is used to quantify irregularity in the test-image. Simulation results presented in this paper show that the proposed steganalysis technique can distinguish between the cover- and the stego-image with low false rates (i.e. P_fp < 0.1 & P_fn < 0.07 for dither modulation stego and P_fp < 0.12 & P_fn < 0.002 for QIM-stego).

Citation Download Citation

Hafiz Malik, K. P. Subbalakshmi, and R. Chandramouli "Nonparametric steganalysis of QIM data hiding using approximate entropy", Proc. SPIE 6819, Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, 681914 (18 March 2008); https://doi.org/10.1117/12.767313

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