The nature of statistical learning theory
The nature of statistical learning theory
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
Supervised feature selection via dependence estimation
Proceedings of the 24th international conference on Machine learning
Detecting LSB matching by applying calibration technique for difference image
Proceedings of the 10th ACM workshop on Multimedia and security
A fusion of maximum likelihood and structural steganalysis
IH'07 Proceedings of the 9th international conference on Information hiding
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
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
Steganalysis by subtractive pixel adjacency matrix
IEEE Transactions on Information Forensics and Security
Steganography using Gibbs random fields
Proceedings of the 12th ACM workshop on Multimedia and security
Gibbs construction in steganography
IEEE Transactions on Information Forensics and Security
Steganalysis using partially ordered Markov models
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
"Break our steganographic system": the ins and outs of organizing BOSS
IH'11 Proceedings of the 13th international conference on Information hiding
Steganalysis with mismatched covers: do simple classifiers help?
Proceedings of the on Multimedia and security
Benchmarking for steganography by kernel fisher discriminant criterion
Inscrypt'11 Proceedings of the 7th international conference on Information Security and Cryptology
Textural features for steganalysis
IH'12 Proceedings of the 14th international conference on Information Hiding
Block-based image steganalysis: Algorithm and performance evaluation
Journal of Visual Communication and Image Representation
A novel mapping scheme for steganalysis
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
| Hi-index | 0.00 |
This paper presents a novel method for detection of steganographic methods that embed in the spatial domain by adding a low-amplitude independent stego signal, an example of which is LSB matching. First, arguments are provided for modeling differences between adjacent pixels using first-order and second-order Markov chains. Subsets of sample transition probability matrices are then used as features for a steganalyzer implemented by support vector machines. The accuracy of the presented steganalyzer is evaluated on LSB matching and four different databases. The steganalyzer achieves superior accuracy with respect to prior art and provides stable results across various cover sources. Since the feature set based on second-order Markov chain is high-dimensional, we address the issue of curse of dimensionality using a feature selection algorithm and show that the curse did not occur in our experiments.