Study on Universal Steganalysis for BMP Images Based on Multi-Domain Features

Yan Yan; Li Ting Li; Jian Bin Xue; Hong Guo Liu; Qiu Yu Zhang

doi:10.4028/www.scientific.net/AMM.278-280.1906

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Study on Universal Steganalysis for BMP Images...

Study on Universal Steganalysis for BMP Images Based on Multi-Domain Features

Abstract:

Steganslysis is an important research issue in information security. Aimed at the most commonly used cover media, digital images, the paper proposed a new method of universal steganalysis method based on multi-domain features. Features were extracted from spatial domain and DWT domain to overcome the drawbacks of steganslysis algorithm for specific steganography, such as high complexity and low correct detecting ratio. Experiment results show that the proposed algorithm can solve the low detecting problem and achieve a better reliability on low embedding rates.

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Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

1906-1909

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.1906

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Online since:

January 2013

Authors:

Yan Yan, Li Ting Li, Jian Bin Xue, Hong Guo Liu, Qiu Yu Zhang

Keywords:

Deviation of Difference, Gradient Energy Difference, Low Embedding Rates, Steganalysis

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