Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines
On Advances in Statistical Modeling of Natural Images
Journal of Mathematical Imaging and Vision
An Implementation of Key-Based Digital Signal Steganography
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
Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)
Blind statistical steganalysis of additive steganography using wavelet higher order statistics
CMS'05 Proceedings of the 9th IFIP TC-6 TC-11 international conference on Communications and Multimedia Security
Improved detection of LSB steganography in grayscale images
IH'04 Proceedings of the 6th international conference on Information Hiding
How realistic is photorealistic?
IEEE Transactions on Signal Processing
IEEE Transactions on Fuzzy Systems
Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors
IEEE Transactions on Information Theory
Steganalysis using image quality metrics
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Computational intelligence in steganalysis environment
ISP'08 Proceedings of the 7th WSEAS international conference on Information security and privacy
Spectrum Steganalysis of WAV Audio Streams
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
A new approach for JPEG resize and image splicing detection
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Novel stream mining for audio steganalysis
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Improved detection and evaluation for JPEG steganalysis
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Intelligent steganalytic system: application on natural language environment
WSEAS Transactions on Systems and Control
Temporal derivative-based spectrum and mel-cepstrum audio steganalysis
IEEE Transactions on Information Forensics and Security
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
An improved approach to steganalysis of JPEG images
Information Sciences: an International Journal
Neighboring joint density-based JPEG steganalysis
ACM Transactions on Intelligent Systems and Technology (TIST)
Derivative-based audio steganalysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A method to detect JPEG-based double compression
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
A JPEG-based statistically invisible steganography
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Review Article: Applications of neuro fuzzy systems: A brief review and future outline
Applied Soft Computing
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In this paper, we present a scheme based on feature mining and neuro-fuzzy inference system for detecting LSB matching steganography in grayscale images, which is a very challenging problem in steganalysis. Four types of features are proposed, and a Dynamic Evolving Neural Fuzzy Inference System (DENFIS) based feature selection is proposed, as well as the use of Support Vector Machine Recursive Feature Elimination (SVM-RFE) to obtain better detection accuracy. In comparison with other well-known features, overall, our features perform the best. DENFIS outperforms some traditional learning classifiers. SVM-RFE and DENFIS based feature selection outperform statistical significance based feature selection such as t-test. Experimental results also indicate that it remains very challenging to steganalyze LSB matching steganography in grayscale images with high complexity.