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
Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
A Clustering Based Approach to Efficient Image Retrieval
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Addressing CBIR efficiency, effectiveness, and retrieval subjectivity simultaneously
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Perturbed quantization steganography with wet paper codes
Proceedings of the 2004 workshop on Multimedia and security
Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Blind Image Steganalysis Based on Statistical Analysis of Empirical Matrix
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Defending against statistical steganalysis
SSYM'01 Proceedings of the 10th conference on USENIX Security Symposium - Volume 10
Mining video associations for efficient database management
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
IH'04 Proceedings of the 6th international conference on Information Hiding
Improved detection of LSB steganography in grayscale images
IH'04 Proceedings of the 6th international conference on Information Hiding
A general framework for structural steganalysis of LSB replacement
IH'05 Proceedings of the 7th international conference on Information Hiding
A feature selection methodology for steganalysis
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Detection of hiding in the least significant bit
IEEE Transactions on Signal Processing - Part II
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
A feature-based classification technique for blind image steganalysis
IEEE Transactions on Multimedia
A new blind method for detecting novel steganography
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Hidden digital watermarks in images
IEEE Transactions on Image Processing
Steganalysis using image quality metrics
IEEE Transactions on Image Processing
Information Hiding Using Ant Colony Optimization Algorithm
International Journal of Technology Diffusion
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Steganography is the art to transmit secret messages through seemingly innocuous files, while steganalysis is to detect or extract hidden messages from such files. Heuristic and feature based methods were proposed for hidden information detection, but their methods seem to be too specific. In this paper we propose a general framework of applying machine learning to steganalysis for LSB (Least Significant Bit steganography) hidden information detection. We have investigated the performance of our method on different classification methods, different complexities of images and different embed rates. Feature based classifiers are trained for sequential and non-sequential LSB hidden information detection. The results show that chi-square feature based decision tree can get almost 10 percentage higher accuracy than the simple threshold based chi-square techniques for sequential LSB detection. In the non-sequential case, just 2-D RS steganalysis features based decision trees can achieve an accuracy of 97.56% in mixed embed rate case.