Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
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
Natural Language Watermarking and Tamperproofing
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
Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Detecting Steganographic Messages in Digital Images
Detecting Steganographic Messages in Digital Images
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
On the limits of steganography
IEEE Journal on Selected Areas in Communications
Perturbed quantization steganography with wet paper codes
Proceedings of the 2004 workshop on Multimedia and security
Minimizing the embedding impact in steganography
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Digital Watermarking and Steganography
Digital Watermarking and Steganography
IH'05 Proceedings of the 7th international conference on Information Hiding
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We present a new protocol that works in conjunction with information hiding algorithms to systematically improve their stealthiness. Our protocol is designed to work with many digital object types including natural language text, software, images, audio, or streaming data. It utilizes a tree-structured hierarchical view of the cover object and determines regions where changes to the object for embedding message data would be easily revealed by an attacker, and are thus to be avoided by the embedding process.The protocol requires the existence of a heuristic detectability metric which can be calculated over any region of the cover object and whose value correlates with the likelihood that a steganalysis algorithm would classify that region as one with embedded information. By judiciously spreading the effects of message-embedding over the whole object, the proposed protocol keeps the detectability of the cover object within allowable values at both fine and coarse scales of granularity. Our protocol provides a way to monitor and to control the effect of each operation on the object during message embedding.