Detecting LSB Steganography in Color and Gray-Scale Images
IEEE MultiMedia
Attacks on Steganographic Systems
IH '99 Proceedings of the Third International Workshop on Information Hiding
Detection of LSB Steganography via Sample Pair Analysis
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
A fast and effective steganalytic technique against JSteg-like algorithms
Proceedings of the 2003 ACM symposium on Applied computing
On Estimation of Secret Message Length in JSteg-like Steganography
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Proceedings of the 11th ACM workshop on Multimedia and security
Steganography in Digital Media: Principles, Algorithms, and Applications
Steganography in Digital Media: Principles, Algorithms, and Applications
A fusion of maximum likelihood and structural steganalysis
IH'07 Proceedings of the 9th international conference on Information hiding
Generalised category attack: improving histogram-based attack on JPEG LSB embedding
IH'07 Proceedings of the 9th international conference on Information hiding
An improved sample pairs method for detection of LSB embedding
IH'04 Proceedings of the 6th international conference on Information Hiding
A general framework for structural steganalysis of LSB replacement
IH'05 Proceedings of the 7th international conference on Information Hiding
Category attack for LSB steganalysis of JPEG images
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
Detection of hiding in the least significant bit
IEEE Transactions on Signal Processing - Part II
Derivation of Error Distribution in Least Squares Steganalysis
IEEE Transactions on Information Forensics and Security
Quantitative steganalysis of LSB embedding in JPEG domain
Proceedings of the 12th ACM workshop on Multimedia and security
A new watermarking method with obfuscated quasi-chirp transform
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
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Quantitative steganalysis strives to estimate the change rate defined as the relative number of embedding changes introduced by steganography. In this paper, we propose two new classes of quantitative steganalysis methods for the steganographic algorithm Jsteg. The first class obtains the change-rate estimate using a maximum likelihood estimator equipped with a precover model. While this approach provides better accuracy than existing structural attacks, it becomes computationally intractable with increasing complexity of the cover model. The second class of methods computes the change-rate estimate by minimizing an objective function constructed from a heuristically formed zero message hypothesis. The advantage of this heuristic approach is a low implementation complexity and modular architecture that allows flexible incorporation of higher order statistics of discrete cosine transform coefficients. The proposed methods are experimentally compared with current state-of-the-art methods.