Abstract
Jsteg is an open steganography software on Internet. It uses the LSB of DCT coefficients to hide secret information. This paper presents a new, fast steganalytic method for detecting Jsteg hiding which is more convenient than the Chi-square attack. The AC coefficients of image are divided into two parts and the distribution of the statistic of the two parts is fitted by Laplacian. The mean of Laplacian is 0 that is proved by Hypothesis testing. The Pearson χ 2 test is done to test goodness-of fit. Basing on this statistic mode, our algorithm can detect Jsteg hiding with high accuracy. The amount of embedding message can be estimate using linear regression.
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Wu, M., Zhu, Z., Jin, S. (2005). A New Steganalytic Algorithm for Detecting Jsteg. In: Lu, X., Zhao, W. (eds) Networking and Mobile Computing. ICCNMC 2005. Lecture Notes in Computer Science, vol 3619. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11534310_112
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DOI: https://doi.org/10.1007/11534310_112
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28102-3
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