The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
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
Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Cyber warfare: steganography vs. steganalysis
Communications of the ACM - Voting systems
Defending against statistical steganalysis
SSYM'01 Proceedings of the 10th conference on USENIX Security Symposium - Volume 10
Statistically undetectable jpeg steganography: dead ends challenges, and opportunities
Proceedings of the 9th workshop on Multimedia & security
A natural image model approach to splicing detection
Proceedings of the 9th workshop on Multimedia & security
Steganalysis of GIM-based data hiding using kernel density estimation
Proceedings of the 9th workshop on Multimedia & security
Erasure and Error Decoding for Semiconductor Memories
IEEE Transactions on Computers
Review: A review on blind detection for image steganography
Signal Processing
Proceedings of the 10th ACM workshop on Multimedia and security
A Markov process based approach to effective attacking JPEG steganography
IH'06 Proceedings of the 8th international conference on Information hiding
Modified matrix encoding technique for minimal distortion steganography
IH'06 Proceedings of the 8th international conference on Information hiding
YASS: yet another steganographic scheme that resists blind steganalysis
IH'07 Proceedings of the 9th international conference on Information hiding
A graph–theoretic approach to steganography
CMS'05 Proceedings of the 9th IFIP TC-6 TC-11 international conference on Communications and Multimedia Security
IH'04 Proceedings of the 6th international conference on Information Hiding
IH'05 Proceedings of the 7th international conference on Information Hiding
Detection of Double-Compression in JPEG Images for Applications in Steganography
IEEE Transactions on Information Forensics and Security
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Robust image-adaptive data hiding using erasure and error correction
IEEE Transactions on Image Processing
Reliable JPEG steganalysis based on multi-directional correlations
Image Communication
Neighboring joint density-based JPEG steganalysis
ACM Transactions on Intelligent Systems and Technology (TIST)
New JPEG steganographic scheme with high security performance
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
Blind quantitative steganalysis based on feature fusion and gradient boosting
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
Steganalysis of DCT-embedding based adaptive steganography and YASS
Proceedings of the thirteenth ACM multimedia workshop on Multimedia and security
A JPEG-based statistically invisible steganography
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
A framework for avoiding steganography usage over HTTP
Journal of Network and Computer Applications
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A promising steganographic method--Yet Another Steganography Scheme (YASS)--was designed to resist blind steganalysis via embedding data in randomized locations. In addition to a concrete realization which is named the YASS algorithm in this paper, a few strategies were proposed to work with the YASS algorithm in order to enhance the data embedding rate and security. In this work, the YASS algorithm and these strategies, together referred to as YASS, have been analyzed from a warden's perspective. It is observed that the embedding locations chosen by YASS are not randomized enough and the YASS embedding scheme causes detectable artifacts. We present a steganalytic method to attack the YASS algorithm, which is facilitated by a specifically selected steganalytic observation domain (SO-domain), a term to define the domain from which steganalytic features are extracted. The proposed SO-domain is not exactly, but partially accesses, the domain where the YASS algorithm embeds data. Statistical features generated from the SO-domain have demonstrated high effectiveness in detecting the YASS algorithm and identifying some embedding parameters. In addition, we discuss how to defeat the above-mentioned strategies of YASS and demonstrate a countermeasure to a new case in which the randomness of the embedding locations is enhanced. The success of detecting YASS by the proposed method indicates a properly selected SO-domain is beneficial for steganalysis and confirms that the embedding locations are of great importance in designing a secure steganographic scheme.