DMCA
Breaking the YASS Algorithm via Pixel and DCT Coefficients Analysis (2008)
| Venue: | In Pattern Recognition, 2008. ICPR 2008. 19th International Conference on |
| Citations: | 4 - 0 self |
BibTeX
@INPROCEEDINGS{Yu08breakingthe,
author = {Xiaoyi Yu and Noboru Babaguchi},
title = {Breaking the YASS Algorithm via Pixel and DCT Coefficients Analysis},
booktitle = {In Pattern Recognition, 2008. ICPR 2008. 19th International Conference on},
year = {2008},
pages = {1--4}
}
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Abstract
In this paper, we present a steganalytic method that can reliably detect messages hidden in JPEG images using the steganographic algorithm YASS, which is a JPEG steganographic method shown to be undetectable using current best blind steganalysis classifiers. The key element of the method is features extracted from the image’s pixels and DCT coefficients. Although the YASS process effectively disables the calibration based and the noise model based JPEG steganalyzers, it also disturbs the pixels and DCT coefficients dependency after the secret message embedding. An SVM based classifier is trained based on the extracted features for the detection of the presence of steganography. The method is tested on a diverse set of test images that include both originally uncompressed and compressed images in the TIF and JPEG formats. Our experimental results have demonstrated that the proposed steganalyzers can reliably break YASS ∗. 1.
Keyphrases
dct coefficient analysis yass algorithm jpeg image secret message test image jpeg steganalyzers noise model key element dct coefficient dependency steganalytic method extracted feature image pixel blind steganalysis classifier steganographic algorithm yass jpeg format dct coefficient detect message diverse set jpeg steganographic method experimental result yass process
