Digital Watermarking and Steganography
Digital Watermarking and Steganography
Steganography in Digital Media: Principles, Algorithms, and Applications
Steganography in Digital Media: Principles, Algorithms, and Applications
The 'Dresden Image Database' for benchmarking digital image forensics
Proceedings of the 2010 ACM Symposium on Applied Computing
Advanced Statistical Steganalysis
Advanced Statistical Steganalysis
Statistical decision methods in hidden information detection
IH'11 Proceedings of the 13th international conference on Information hiding
A cover image model for reliable steganalysis
IH'11 Proceedings of the 13th international conference on Information hiding
Detection of hiding in the least significant bit
IEEE Transactions on Signal Processing - Part II
Steganalysis using higher-order image statistics
IEEE Transactions on Information Forensics and Security
Performance Measures for Neyman–Pearson Classification
IEEE Transactions on Information Theory
Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data
IEEE Transactions on Image Processing
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This paper investigates the detection of information hidden by the Least Significant Bit (LSB) matching scheme. In a theoretical context of known image media parameters, two important results are presented. First, the use of hypothesis testing theory allows us to design the Most Powerful (MP) test. Second, a study of the MP test gives us the opportunity to analytically calculate its statistical performance in order to warrant a given probability of false-alarm. In practice when detecting LSB matching, the unknown image parameters have to be estimated. Based on the local estimator used in the Weighted Stego-image (WS) detector, a practical test is presented. A numerical comparison with state-of-the-art detectors shows the good performance of the proposed tests and highlights the relevance of the proposed methodology.