Steganalysis of JPEG Images: Breaking the F5 Algorithm

Fridrich, Jessica; Goljan, Miroslav; Hogea, Dorin

doi:10.1007/3-540-36415-3_20

Cited by 242 publications

(169 citation statements)

References 13 publications

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“…Unfortunately, F5 did not survive attacks for too long. Fridrich et al [33] proposed steganalysis that does detect F5 contents, disrupting F5's survival.…”

Section: Fig 17mentioning

confidence: 99%

Digital image steganography: Survey and analysis of current methods

et al. 2010

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Steganography is the science that involves communicating secret data in an appropriate multimedia carrier, e.g., image, audio, and video files. It comes under the assumption that if the feature is visible, the point of attack is evident, thus the goal here is always to conceal the very existence of the embedded data. Steganography has various useful applications. However, like any other science it can be used for ill intentions. It has been propelled to the forefront of current security techniques by the remarkable growth in computational power, the increase in security awareness by, e.g., individuals, groups, agencies, government and through intellectual pursuit. Steganography's ultimate objectives, which are undetectability, robustness (resistance to various image processing methods and compression) and capacity of the hidden data, are the main factors that separate it from related techniques such as watermarking and cryptography. This paper provides a state-of-the-art review and analysis of the different existing methods of steganography along with some common standards and guidelines drawn from the literature. This paper concludes with some recommendations and advocates for the object-oriented embedding mechanism. Steganalysis, which is the science of attacking steganography, is not the focus of this survey but nonetheless will be briefly discussed.

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“…Unfortunately, F5 did not survive attacks for too long. Fridrich et al [33] proposed steganalysis that does detect F5 contents, disrupting F5's survival.…”

Section: Fig 17mentioning

confidence: 99%

Digital image steganography: Survey and analysis of current methods

et al. 2010

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“…Such correlations will also occur in the stego signal. Often, such correlations can be used to "denoise" the signal or to "calibrate" statistics [14,15], even in audio streams.…”

Section: Discussionmentioning

confidence: 99%

Pit Stop for an Audio Steganography Algorithm

Westfeld

Wurzer

Fabián

et al. 2013

Communications and Multimedia Security

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Abstract. Steganography plays an important role in the field of secret communication. The security of such communication lies in the impossibility of proving that secret communication is taking place.We evaluate the implementation of a previously published spread spectrum technique for steganography in auditive media. We have unveiled and solved several weaknesses that compromise undetectability.The spread-spectrum approach of the technique under evaluation is rather unusual for steganography and makes the secret message fit to survive A/D and D/A conversions of analogue audio telephony, re-encoded speech channels of GSM/UMTS, or VoIP. Its impact to signal statistics, which is at least concealed by the lossy channel, is reduced. There is little published on robust audio steganography, its steganalysis, and evaluation, with the possible exception of audio watermarking, where undetectability is not as important.

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“…So Equation (7) is re-written as 3 However, there is an unsolved issue, i.e. how to decide whether a sampled speech contains hidden messages.…”

Section: Second Statistical Detection and Regression Analysismentioning

confidence: 99%