A Graph–Theoretic Approach to Steganography

Hetzl, Stefan; Mutzel, Petra

doi:10.1007/11552055_12

Cited by 109 publications

(66 citation statements)

References 11 publications

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“…This class of meth-ods has been very successful in detecting steganographic methods available today. For example, detection results presented in [10] and also our own experiments indicate that popular JPEG steganographic schemes such as OutGuess [1], StegHide [2], model-based steganography [3], and 1D statistical restoration schemes [6,7] can be successfully detected. Following are the key ingredients that contribute to the success of these blind steganalysis schemes.…”

Section: Resisting Blind Steganalysismentioning

confidence: 80%

“…In Table 7, we present a comparison of our steganographic scheme, YASS, to OutGuess [1] and StegHide [2]. To enable fair comparison, we must use the same hiding rate for all the schemes.…”

Section: Comparison With Competing Methodsmentioning

confidence: 99%

“…It is not surprising that steganography in the JPEG format, and its converse problem of steganalysis of JPEG images to find ones with hidden data, have received considerable attention from researchers over the past decade. There are many approaches and software available for JPEG steganography, which include OutGuess [1], StegHide [2], model-based steganography [3], perturbed quantization [4], F5 [5], and statistical restoration [6,7].…”

Section: Introductionmentioning

confidence: 99%

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YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis

2007

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Abstract.A new, simple, approach for active steganography is proposed in this paper that can successfully resist recent blind steganalysis methods, in addition to surviving distortion constrained attacks. We present Yet Another Steganographic Scheme (YASS), a method based on embedding data in randomized locations so as to disable the selfcalibration process (such as, by cropping a few pixel rows and/or columns to estimate the cover image features) popularly used by blind steganalysis schemes. The errors induced in the embedded data due to the fact that the stego signal must be advertised in a specific format such as JPEG, are dealt with by the use of erasure and error correcting codes. For the presented JPEG steganograhic scheme, it is shown that the detection rates of recent blind steganalysis schemes are close to random guessing, thus confirming the practical applicability of the proposed technique. We also note that the presented steganography framework, of hiding in randomized locations and using a coding framework to deal with errors, is quite simple yet very generalizable.

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Section: Resisting Blind Steganalysismentioning

confidence: 80%

“…In Table 7, we present a comparison of our steganographic scheme, YASS, to OutGuess [1] and StegHide [2]. To enable fair comparison, we must use the same hiding rate for all the schemes.…”

Section: Comparison With Competing Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis

2007

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“…0.2 [23], and Steghide [16]. For F5, MB1, JP Hide&Seek, OutGuess, and Steghide, we embedded messages of three different lengths-100%, 50%, 25% of the maximal image embedding capacity.…”

Section: Multi-classifier For Single-compressed Imagesmentioning

confidence: 99%

“…We also describe the database of test images for training and testing. In Section 4, we construct a seven-class SVM multi-classifier that assigns singlecompressed JPEG images with a wide range of quality factors to either the class of cover images or six JPEG steganographic algorithms (F5 [27], OutGuess [23], Steghide [16], JP Hide&Seek [1], Model based steganography with and without deblocking [24,25,26]). Section 5 is entirely devoted to steganalysis of double-compressed images.…”

Section: Introductionmentioning

confidence: 99%

Determining the stego algorithm for JPEG images

Pevný

Fridrich

2006

IEE Proc. Inf. Secur.

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The goal of Forensic Steganalysis is to detect the presence of embedded data and eventually extract the secret message. A necessary step toward extracting the data is determining the steganographic algorithm used to embed the data. In this paper, we construct blind classifiers capable of detecting steganography in JPEG images and assigning stego images to 6 popular JPEG embedding algorithms. The classifiers are support vector machines that use 23 calibrated DCT feature calculated from the luminance component.

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HYSA: HYbrid steganographic approach using multiple steganography methods

Sajedi¹,

Jamzad²

2010

Security Comm Networks

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The aim of image steganography is to hide data in an image with visual and statistical invisibility. There have been a number of steganography techniques proposed over the past few years. In sequence, the development of these methods has led to an increased interest in steganalysis techniques. Most of the steganalysis methods attempt to estimate cover image statistics. One way to provide a secure steganography method is to disturb the estimation of steganalyzers. The main concern of this paper is to resist against steganalysis methods and utilize a mechanism to securely embed more secret data into an image. We present HYbrid steganographic approach (HYSA), which embeds secret data with randomized embedding algorithms in randomized regions of the cover image. HYSA embeds secret data in only some regions of the image not all over the image. In addition, HYSA can employ more than one steganography method for embedding secret data in the image. Random selection of embedding regions and steganography methods leaves a combination of several types of distortion on the image, which are difficult to be recognized by the steganalysis methods. Experimental results by applying some well-known and efficient steganalysis methods illustrate that the proposed steganographic approach is more undetectable than some popular steganography methods.

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A Graph–Theoretic Approach to Steganography

Cited by 109 publications

References 11 publications

YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis

YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis

Determining the stego algorithm for JPEG images

HYSA: HYbrid steganographic approach using multiple steganography methods

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