The nature of statistical learning theory
The nature of statistical learning theory
Detecting LSB Steganography in Color and Gray-Scale Images
IEEE MultiMedia
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
Steganalysis using image quality metrics
IEEE Transactions on Image Processing
Minimizing the embedding impact in steganography
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Statistically undetectable jpeg steganography: dead ends challenges, and opportunities
Proceedings of the 9th workshop on Multimedia & security
On completeness of feature spaces in blind steganalysis
Proceedings of the 10th ACM workshop on Multimedia and security
Universal Steganalysis Using Multiwavelet Higher-Order Statistics and Support Vector Machines
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Benchmarking for Steganography
Information Hiding
Digital Watermarking and Steganography
Digital Watermarking and Steganography
Secure Cover Selection Steganography
ISA '09 Proceedings of the 3rd International Conference and Workshops on Advances in Information Security and Assurance
A Survey of Passive Image Tampering Detection
IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
Steganalysis of LSB based image steganography using spatial and frequency domain features
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Information Sciences: an International Journal
A novel universal steganalyser design: "LogSv"
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
SVD-based universal spatial domain image steganalysis
IEEE Transactions on Information Forensics and Security
Towards genetic feature selection in image steganalysis
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Expert Systems with Applications: An International Journal
Improved steganographic method preserving pixel-value differencing histogram with modulus function
EURASIP Journal on Advances in Signal Processing
Detection of tampering inconsistencies on mobile photos
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
Vision of the unseen: Current trends and challenges in digital image and video forensics
ACM Computing Surveys (CSUR)
Robust and secured image-adaptive data hiding
Digital Signal Processing
Improving steganalysis by fusion techniques: a case study with image steganography
Transactions on Data Hiding and Multimedia Security I
Measuring the statistical correlation inconsistencies in mobile images for tamper detection
Transactions on Data Hiding and Multimedia Security VII
Textural features for steganalysis
IH'12 Proceedings of the 14th international conference on Information Hiding
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We present a novel technique for steganalysis of images that have been subjected to embedding by steganographic algorithms. The seventh and eighth bit planes in an image are used for the computation of several binary similarity measures. The basic idea is that the correlation between the bit planes as well as the binary texture characteristics within the bit planes will differ between a stego image and a cover image. These telltale marks are used to construct a classifier that can distinguish between stego and cover images. We also provide experimental results using some of the latest steganographic algorithms. The proposed scheme is found to have complementary performance vis-à-vis Farid's scheme in that they outperform each other in alternate embedding techniques.