Attacks on Steganographic Systems
IH '99 Proceedings of the Third International Workshop on Information Hiding
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Steganalysis of JPEG Images: Breaking the F5 Algorithm
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Steganography Preserving Statistical Properties
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Defending against statistical steganalysis
SSYM'01 Proceedings of the 10th conference on USENIX Security Symposium - Volume 10
Exploiting preserved statistics for steganalysis
IH'04 Proceedings of the 6th international conference on Information Hiding
Detection of LSB steganography via sample pair analysis
IEEE Transactions on Signal Processing
Steganalysis using higher-order image statistics
IEEE Transactions on Information Forensics and Security
Steganalysis for Markov cover data with applications to images
IEEE Transactions on Information Forensics and Security
Optimized Feature Extraction for Learning-Based Image Steganalysis
IEEE Transactions on Information Forensics and Security
On the limits of steganography
IEEE Journal on Selected Areas in Communications
Steganalysis using image quality metrics
IEEE Transactions on Image Processing
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In this paper, a new steganographic method that preserves the first-order statistics of the cover is proposed. Suitable for the passive warden scenario, the proposed method is not robust to any change of the stego object. Besides the relative simplicity of both encoding and decoding, high and adjustable information hiding rate can be achieved with our method. In addition, the perceptual distortion caused by data embedding can be easily minimized, such as in the mean squared error criterion. When applied to digital images, the generic method becomes a sort of LSB hiding, namely the LSB + algorithm. To prevent the sample pair analysis attack, the LSB + algorithm is implemented on the selected subsets of pixels to preserve some important high-order statistics as well. The experimental results of the implementation are promising.