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Steganalysis for Markov Cover Data With Applications to Images
2006
IEEE Transactions on Information Forensics and Security
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The main application explored here is steganalysis of data hidden in images. ...
In this paper, we investigate detection-theoretic performance benchmarks for steganalysis when the cover data are modeled as a Markov chain. ...
ACKNOWLEDGMENT The authors would like to thank the reviewers for their careful reading and insightful comments. We also express appreciation to D. Fedorov for translation assistance. ...
doi:10.1109/tifs.2006.873595
fatcat:cqywze5hvjhftnqvc4ghmlxlta
A Review on Blind Still Image Steganalysis Techniques Using Features Extraction and Pattern Classification Method
2012
International Journal of Computer Science Engineering and Information Technology
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Steganography is the technique for hiding secret information in other data such as still, multimedia images, text, audio. ...
In this paper, an extensive review report is presented chronologically on the Blind Image Steganalysis for the still stego images using the classification techniques. ...
also .developed an application using Weka Java library for loading the data of the Images and classify the images . ...
doi:10.5121/ijcseit.2012.2308
fatcat:fdlxaf4k5vfujhpzjniyuxfcg4
Derivative-based audio steganalysis
2011
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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First, Mel-cepstrum coefficients and Markov transition features from the second-order derivative of the audio signal are extracted; a support vector machine is then applied to the features for discovering ...
all categories of signal complexity-especially for audio streams with high signal complexity, which are generally the most challenging for steganalysis-and thereby significantly improves the state of ...
In steganalysis, Shi et al. [2007] presented a Markov process to detect the information-hiding behaviors in JPEG images. ...
doi:10.1145/2000486.2000492
fatcat:ebjw6bv4jbcd5iqjx2uufi2ng4
Steganalysis of Youtube Compressed Video Using High-order Statistics in 3D DCT Domain
2012
2012 Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
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Statistical features sensitive to data hiding such as absolute central moments, skewness, kurtosis, and Markov features are used as classifying statistics. ...
This papers presents a novel steganalysis scheme for YouTube compressed video. The proposed scheme exploits spatial-temporal correlation between adjacent frames. ...
Although video can be treated as a sequence of images, however, applying image steganalysis to video on a frame-by-frame basis yields a suboptimal performance. For video steganalysis, Budhia et al. ...
doi:10.1109/iih-msp.2012.52
dblp:conf/iih-msp/ZhaoWM12
fatcat:e34hrsjhpvbmbiwma7fa6dixnq
An improved approach to steganalysis of JPEG images
2010
Information Sciences
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In this paper, a new scheme is proposed for steganalysis of JPEG images, which, being the most common image format, is believed to be widely used for steganography purposes as there are many free or commercial ...
tools for producing steganography using JPEG covers. ...
Xin Zhou at Yale University for affording us his MSVM-RFE code and to Drs. Shi and Chunhua Chen at New Jersey Institute of Technology for affording us their Markov code. ...
doi:10.1016/j.ins.2010.01.001
fatcat:avklkqeicvdktalaz46bqobxxy
Anti-forensic Approach to Remove StegoContent from Images and Videos
2019
Journal of Cyber Security and Mobility
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The application of generic image processing operations also causes degradation of cover image, which can also be restored using this anti forensic method. ...
By applying universal steganalysis we found that all images which have been subjected to our procedure have become stego free. ...
We present an approach to remove the hidden data embedded in an image and video using suitable image processing operations along with an anti forensic method called variational deconvolution [4] for ...
doi:10.13052/jcsm2245-1439.831
fatcat:tjclcuazszcajj24kdxyblgabi
Improve Steganalysis by MWM Feature Selection
[chapter]
2012
Watermarking - Volume 2
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The main goal of modern steganography is to hide some secret messages into the socalled cover data, e.g. images, videos, audios, documents…, which produced the so-called stego data, and make the existence ...
We choose images of JPEG format as the cover images without loss of generality. The extensively used BOSSbase image database is used as the source of cover images. ...
Book one is more traditional in its approach dealing mostly with image watermarking applications. ...
doi:10.5772/37988
fatcat:n3gzr3chjrfvzpafgugbx634o4
Steganalysis Versus Splicing Detection
[chapter]
2008
Lecture Notes in Computer Science
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Although images are the only medium discussed here, the principle discussed in this paper is expected applicable to other media as well. ...
Therefore, natural image model based on a set of carefully selected statistical features in the machine learning framework can be used for steganalysis and splicing detection. ...
Credits for the use of the Columbia Image Splicing Detection Evaluation Dataset are given to the DVMM Laboratory of Columbia University, CalPhotos Digital Library, and the photographers, whose names are ...
doi:10.1007/978-3-540-92238-4_13
fatcat:xeopzwnwfzg6bm5hfx23wypltq
Blind Quantitative Steganalysis Based on Feature Fusion and Gradient Boosting
[chapter]
2011
Lecture Notes in Computer Science
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Machine learning can be used to estimate some properties of hidden message for blind quantitative steganalysis. ...
Experimental result shows that our proposed method has good performance for quantitative steganalysis. ...
Estimation of the embedding rate of a stego image is an important task for stego-image in applications. In this paper we have proposed a novel method for blind quantitative steganalysis. ...
doi:10.1007/978-3-642-18405-5_22
fatcat:gte3wjqfmzcrpiuskia6ee7vgi
Performance Evaluation of First and Second Order Features for Steganalysis
2014
International Journal of Computer Applications
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Then train the classifier with the calculated feature vector of cover and stego image and evaluate features, that are more accurate to detect the hidden message. ...
To calculate that changes we are extracting various features from the cover image and stego image in spatial domain as well as DCT domain of JPEG image. ...
FEATURES BASED STEGANALYSIS METHOD 2.1 Basic design of features based Steganalysis The main objective of the steganalysis is to detect the statistics changes in the cover image after hiding the message ...
doi:10.5120/16093-5372
fatcat:jjn5drugirgsve4vjgcnhzv7ie
Steganalysis of spread spectrum data hiding exploiting cover memory
2005
Security, Steganography, and Watermarking of Multimedia Contents VII
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In this paper we study steganalysis, the detection of hidden data. Specifically we focus on detecting data hidden in grayscale images with spread spectrum hiding. ...
To verify the results of these findings, we create a tool to discriminate between natural "cover" images and "stego" images (containing hidden data) taken from a diverse database. ...
To compare the findings for Markov random chains to detection of real image data, we used a supervised learning machine to classify between cover and stego images. ...
doi:10.1117/12.588121
dblp:conf/sswmc/SullivanMCM05
fatcat:wqsg26mrjvb57cpelcllmulp2u
Towards digital video steganalysis using asymptotic memoryless detection
2007
Proceedings of the 9th workshop on Multimedia & security - MM&Sec '07
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Results and discussion are provide in order to demonstrate the potential of our ideas for intrusion detection in a broad class of emerging multimedia applications. ...
This paper studies the potential for passive steganalysis in correlated image frames using non-classical detection theory. ...
In [16, 17] , Sullivan et al. developed a detection theoretic approach that employs a Markov chain (MC) model for spatial correlation in the cover-image order to identify the presence of hidden data. ...
doi:10.1145/1288869.1288891
dblp:conf/mmsec/JainskyKH07
fatcat:dgrbj3447ncnpox24kosgrwyym
Neighboring joint density-based JPEG steganalysis
2011
ACM Transactions on Intelligent Systems and Technology
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Due to the popularity of JPEG images on the Internet, effective steganalysis techniques are called for to counter the threat of JPEG steganography. ...
In this article, we propose a new approach based on feature mining on the discrete cosine transform (DCT) domain and machine learning for steganalysis of JPEG images. ...
The innocuous digital media or files are called carriers or covers, the covers embedded with hidden data are called steganograms. ...
doi:10.1145/1899412.1899420
fatcat:xwy5whrngbeu7mfibotr6ndp3m
On the Removal of Steganographic Content from Images
2016
Defence Science Journal
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The finally deconvolved image is subjected to steganalysis to verify the absence of stego content. ...
These operations will degrade the quality of cover image. However these can be restored to some extent by a deconvolution operation. ...
In this area different attacks and attack suits have been evolved both for images and audio data as cover media. ...
doi:10.14429/dsj.66.10797
fatcat:adq2jz4yzjeolak5njtmcfnpxe
Approaches and Methods for Steganalysis – A Survey
2017
IJARCCE
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To identify such content, steganalysis has been performed. ...
The counter technique of image steganography is called as image steganalysis, which begins by recognizing the object that exists in the embedded source file. ...
Both data embedding and extraction need a digital image processing technique to deploy. The application such as medical safety, terrorism and hacking types of application need steganalysis. ...
doi:10.17148/ijarcce.2017.6678
fatcat:w6ridb6b6ba7vdah7yd3ohrcvm
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