A novel active warden steganographic attack for next-generation steganography

Sharp, Aaron; Qi, Qilin; Yang, Yaoqing; Peng, Dongming; Sharif, Hamid

doi:10.1109/iwcmc.2013.6583717

Cited by 10 publications

(7 citation statements)

References 21 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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“…• Active steganalysis is barely addressed by investigators because it is very greedy in processing time and often severely affects the cover media [8]. • The video steganalysis algorithms that utilize the temporal redundancies at the frame level and inter-frame level have been observed to be more effective than algorithms based on spatial redundancies only.…”

Section: General Steganalysis Rules and Principlesmentioning

confidence: 99%

“…Because of the strong temporal correlation between adjacent frames, the frame difference signal of the cover video can be commonly approximated by a Laplacian distribution [22]. Active steganalysis is barely addressed by investigators because it is very greedy in processing time and often severely affects the cover media [8]. The video steganalysis algorithms that utilize the temporal redundancies at the frame level and inter‐frame level have been observed to be more effective than algorithms based on spatial redundancies only.…”

Section: General Steganalysis Rules and Principlesmentioning

confidence: 99%

“…Therefore, investigators should make an extra effort in order to adapt image algorithms or develop new ones that take into account the video characteristics like the temporal domain. This has to become a strong trend in the coming years, especially when we know that the capacity for hidden messages in video streams is enormous when compared with other steganographic mediums, and countless algorithms can be used to embed information in various domains of the video [8]. Unfortunately and despite the recent interest in the video cover by steganalysts, research in this field is still in its first steps when compared with image cover‐related investigation.…”

Section: Introductionmentioning

confidence: 99%

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A comprehensive review of video steganalysis

Bouzegza

Belatreche

Bouridane

et al. 2022

IET Image Processing

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“…DST was first proposed as a way to attack the steganography embedded in the multimedia signal [12][13][14][15][16][17]. The basic idea of DST is to eliminate the perceptual redundancy of the multimedia signal [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

DST approach to enhance audio quality on lost audio packet steganography

Peng

Sharif

2016

EURASIP J. on Info. Security

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Lost audio packet steganography (LACK) is a steganography technique established on the VoIP network. LACK provides a high-capacity covert channel over VoIP network by artificially delaying and dropping a number of packets in use to convey stegnogram. However, the increasing loss of packets will hurt the quality of the VoIP service. The quality deterioration will not only affect the legitimate VoIP service but also constrain the capacity of the covert channel. Discrete spring transform (DST) is proven to be a way to eliminate the perceptual redundancy in the multimedia signal. In this paper, the DST is applied on the LACK so that the perceptual redundancy of the voice frames is suppressed. In this way, the less redundant VoIP frames with perceptual equivalent quality can be transmitted in a channel whose capacity is squeezed by the established covert channel. As a result, the VoIP perceptual quality can be maintained with the existence of the covert channel. Meanwhile, the proposed DSTbased method demonstrates the possibilities in exploiting the perceptual space of the multimedia signal. The simulation results show that the DST on LACK achieves up to 24 % more capacity over the LACK scheme.

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A novel active warden steganographic attack for next-generation steganography

Cited by 10 publications

References 21 publications

Generic attack against robust steganography based on spring transform and geometrization

Generic attack against robust steganography based on spring transform and geometrization

A comprehensive review of video steganalysis

DST approach to enhance audio quality on lost audio packet steganography

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