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Channel Steganalysis

Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018
The rise of social networks during the last 10 years has created a situation in which up to 100 million new images and photographs are uploaded and shared by users every day. This environment poses an ideal background for those who wish to communicate covertly by the use of steganography.
Martin Steinebach   +2 more
openaire   +2 more sources

How to Pretrain for Steganalysis

Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security, 2021
In this paper, we investigate the effect of pretraining CNNs on ImageNet on their performance when refined for steganalysis of digital images. In many cases, it seems that just 'seeing' a large number of images helps with the convergence of the network during the refinement no matter what the pretraining task is.
Jan Butora   +2 more
openaire   +2 more sources

Steganalysis of YASS

IEEE Transactions on Information Forensics and Security, 2008
In this paper, we describe a method for attacking Yet Another Steganographic Scheme (YASS), which is designed to be a very secure JPEG steganographic algorithm. The success of YASS is attributed to its innovation in embedding, i.e., hiding data in embedding host blocks whose locations are randomized. However, we find that the locations of the embedding
Bin Li 0011, Yun Q. Shi 0001, Jiwu Huang
openaire   +2 more sources

Image steganography and steganalysis

open access: yesWiley Interdisciplinary Reviews: Computational Statistics, 2011
Image steganography is used to embed covert messages in the form of files, text, or other images in digital images. The intent is to transmit hidden information. Steganalysis is the process used to detect hidden messages in images. Although steganography
Mayra Bachrach
exaly   +2 more sources

The impact of information fusion in steganalysis on the example of audio steganalysis

SPIE Proceedings, 2009
Information fusion tries to determine the best set of experts in a given problem domain and devise an appropriate function that can optimally combine the decisions of the individual experts. Only few systematic approaches to information fusion exist so far in the signal processing field of steganalysis.
Kraetzer C., Dittmann J.
openaire   +2 more sources

Steganalysis of overlapping images

SPIE Proceedings, 2015
We examine whether steganographic images can be detected more reliably when there exist other images, taken with the same camera under the same conditions, of the same scene. We argue that such a circumstance is realistic and likely in practice. In `laboratory conditions' mimicking circumstances favourable to the analyst, and with a custom set of ...
James M. Whitaker, Andrew D. Ker
openaire   +1 more source

Steganalysis of Halftone Images

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
We present a novel steganalysis technique for halftone images without knowledge of the original cover image. We first convert halftone images into grayscale-like images by low-pass filtering. The low-pass-filtered image is then decomposed using quadrature mirror filters, and a set of subband coefficients are generated at different scales and ...
Ming Jiang 0006   +3 more
openaire   +2 more sources

Model based steganalysis

2004 International Conference on Image Processing, 2004. ICIP '04., 2005
In this paper, we consider a new method for performing steganalysis using a statistical model of the cover medium. Using model based methodology, examples of detecting secret message and estimating the secret message length of bit-streams embedded using JSteg-like steganography and quantization index modulation are proposed. This steganalysis technique
Xiaoyi Yu, Yunhong Wang 0001, Tieniu Tan
openaire   +1 more source

On More Paradigms of Steganalysis

International Journal of Digital Crime and Forensics, 2016
Up to now, most researches on steganalysis concentrate on one extreme case. Typically, the a priori knowledge of the embedding way and cover-media is assumed known in the classifier training and even feature design stage. However, the steganalysis in the real world is done with different levels of such knowledge so that there can be various paradigms ...
Xianfeng Zhao, Jie Zhu, Haibo Yu
openaire   +1 more source

Towards dependable steganalysis

SPIE Proceedings, 2015
This paper considers the research goal of dependable steganalysis: where false positives occur once in a million or less, and this rate is known with high precision. Despite its importance for real-world application, there has been almost no study of steganalysis which produces very low false positives.
Tomás Pevný, Andrew D. Ker
openaire   +2 more sources

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