A quality-preserving hidden information removal approach for digital images

Rezaei, Fahimeh; Hempel, Michael; Shrestha, Pradhumna Lal; Ma, Tao; Peng, Dongming; Sharif, Hamid

doi:10.1109/icc.2012.6364070

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…The similar methods used in video and audio data have been proposed in Refs. [23,[25][26][27][28][29]. In this paper, the proposed method emphasizes on the generic attacking architecture in the image domain.…”

Section: Active Attack Methodsmentioning

confidence: 99%

Generic attack against robust steganography based on spring transform and geometrization

Sharp

Peng

et al. 2016

Security Comm. Networks

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There have been many robust image steganography methods that are invented in recent decades. However, this technique also may be used by malicious users to transmit dangerous information through the Internet beyond the control of the security agencies. How to detect and/or block potentially dangerous information transmission on the Internet through billions of images while not affecting the normal digital images becomes a challenging problem. Existing steganalysis methods or steganography attacking methods cannot be used for analyzing a large volume of digital images in a short time. In this paper, we propose an effective steganography attacking method that is not limited by the types of the steganography method. The proposed method can process the digital images to remove the potentially dangerous hidden information while keeping the digital image in a high visual quality. Inspired by the way in which printers and scanners work, our method decouples the human visual perception and the digital image's numerical values. It causes the numerical values of the image to change dramatically, and then the hidden information are largely damaged, while at the same time, the visual image quality can be maintained. Our experimental results have demonstrated that the peak signal‐to‐noise ratio of images can be above 32 dB while the stego data are destroyed. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Active Attack Methodsmentioning

confidence: 99%

Generic attack against robust steganography based on spring transform and geometrization

Sharp

Peng

et al. 2016

Security Comm. Networks

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“…The potential advantages for active warden methods are investigated. In [15], [16] and [17] are some specific active warden based attacking approaches against video, audio and image steganography. All those methods attempt to remove the steganography in the cover media while preserving the perceptual quality of the cover media, but they all require some prior knowledge to some extent.…”

Section: Introductionmentioning

confidence: 99%

Steganography attack based on Discrete Spring Transform and image geometrization

Sharp

Yang

et al. 2014

2014 International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-In order to prevent harmful secret information sharing by steganography, a new active-warden countermeasure approach against steganography is proposed in this paper. Differently from the other countermeasure approaches presented in current literature which need to have some knowledge of the steganographic algorithms to be attacked, our proposed method is a generic method which is independent of any particular steganography methods being utilized. In other words, our approach blindly attacks the steganography without any prior knowledge of the used algorithms or their existence. In general, the hidden information is embedded in a carrier by adjusting the coefficients of the audio or image. In our method, by exploiting the large margin between the numerical value and visual perception of the images, large amounts of visually nondetectable distortions are incurred in the image. As a result, the hidden message is destroyed by this method while the perceptual quality of the image is maintained. Inspired by the print-scan process in which most of the steganographic methods cannot survive, a transform called Discrete Spring Transform (DST) is proposed in this paper as the foundation of our attack algorithm. An image geometrization method is also developed to reconstruct the image in this paper. The simulation results have demonstrated that the PSNR of the attacked image is above 30dB with a high perceptive quality while the BER of the hidden steganographic message in the attacked image is above 0.5.

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Frequency domain discrete spring transform: A novel frequency domain steganographic attack

Sharp

Yang

et al. 2014

2014 9th International Symposium on Communication Systems, Networks &Amp; Digital Sign (CSNDSP)

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A quality-preserving hidden information removal approach for digital images

Cited by 5 publications

References 14 publications

Generic attack against robust steganography based on spring transform and geometrization

Generic attack against robust steganography based on spring transform and geometrization

Steganography attack based on Discrete Spring Transform and image geometrization

Frequency domain discrete spring transform: A novel frequency domain steganographic attack

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