Statistical and neural classifiers: an integrated approach to design
Statistical and neural classifiers: an integrated approach to design
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
IHW '01 Proceedings of the 4th 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
Reliable detection of LSB steganography in color and grayscale images
MM&Sec '01 Proceedings of the 2001 workshop on Multimedia and security: new challenges
Defending against statistical steganalysis
SSYM'01 Proceedings of the 10th conference on USENIX Security Symposium - Volume 10
Improved detection of LSB steganography in grayscale images
IH'04 Proceedings of the 6th 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
Multi bit plane image steganography
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
Universal JPEG steganalysis in the compressed frequency domain
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
Steganalysis using higher-order image statistics
IEEE Transactions on Information Forensics and Security
Steganalysis of adaptive image steganography in multiple gray code bit-planes
Multimedia Tools and Applications
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In this paper, we present an efficient specific steganalysis scheme for multi bit plane image steganography. This algorithm proposed by Nguyen, Yoon and Lee at IWDW'06 is applied to uncompressed images and embeds data into several bit planes of the canonical gray coding. It is designed to be robust against RS steganalysis and pixel difference histogram analysis. We show how to adapt RS analysis into a local analysis to design an efficient detector against multi bit plane image steganography. This method takes advantages from both the counter-measures introduced by the authors and the power of RS analysis approach. Finally, we designed a specific classifier to detect images embedded with Nguyen's algorithm. This detector has high detection rates, even for low embedding rates.