Secure Steganographic Methods for Palette Images
IH '99 Proceedings of the Third International Workshop on Information Hiding
Steganography Preserving Statistical Properties
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Minimizing the embedding impact in steganography
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
An Epistemological Approach to Steganography
Information Hiding
Estimating Steganographic Fisher Information in Real Images
Information Hiding
Steganography in Digital Media: Principles, Algorithms, and Applications
Steganography in Digital Media: Principles, Algorithms, and Applications
Edge adaptive image steganography based on LSB matching revisited
IEEE Transactions on Information Forensics and Security
Advanced Statistical Steganalysis
Advanced Statistical Steganalysis
ESORICS'10 Proceedings of the 15th European conference on Research in computer security
The square root law in stegosystems with imperfect information
IH'10 Proceedings of the 12th international conference on Information hiding
Using high-dimensional image models to perform highly undetectable steganography
IH'10 Proceedings of the 12th international conference on Information hiding
A game-theoretical approach for finding optimal strategies in a botnet defense model
GameSec'10 Proceedings of the First international conference on Decision and game theory for security
Steganalysis of content-adaptive steganography in spatial domain
IH'11 Proceedings of the 13th international conference on Information hiding
Exploiting preserved statistics for steganalysis
IH'04 Proceedings of the 6th international conference on Information Hiding
Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems
IEEE Transactions on Information Forensics and Security
Kerckhoffs-Based Embedding Security Classes for WOA Data Hiding
IEEE Transactions on Information Forensics and Security
Perfectly Secure Steganography: Capacity, Error Exponents, and Code Constructions
IEEE Transactions on Information Theory
Moving steganography and steganalysis from the laboratory into the real world
Proceedings of the first ACM workshop on Information hiding and multimedia security
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Content-adaptive embedding is widely believed to improve steganographic security over uniform random embedding. However, such security claims are often based on empirical results using steganalysis methods not designed to detect adaptive embedding. We propose a framework for content-adaptive embedding in the case of imperfect steganography. It formally defines heterogeneity within the cover as a necessary condition for adaptive embedding. We devise a game-theoretic model for the whole process including cover generation, adaptive embedding, and a detector which anticipates the adaptivity. Our solution exhibits a unique equilibrium in mixed strategies. Its location depends on the level of heterogeneity of the cover source, but never coincides with naïve adaptive embedding. The model makes several simplifying assumptions, including independent cover symbols and the steganalyst's ability to recover the adaptivity criterion perfectly.