Image and Video Compression for Multimedia Engineering
Image and Video Compression for Multimedia Engineering
Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Steganalysis by subtractive pixel adjacency matrix
Proceedings of the 11th 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
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
A new methodology in steganalysis: breaking highly undetectable steganograpy (HUGO)
IH'11 Proceedings of the 13th international conference on Information hiding
Steganalysis of content-adaptive steganography in spatial domain
IH'11 Proceedings of the 13th international conference on Information hiding
IH'04 Proceedings of the 6th international conference on Information Hiding
IH'05 Proceedings of the 7th international conference on Information Hiding
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
Textural features for steganalysis
IH'12 Proceedings of the 14th international conference on Information Hiding
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Recently the research on steganalysis for breaking HUGO has been further moved ahead. A novel mapping scheme is reported in this paper. Through a Huffman coding like procedure, this scheme can lower the feature dimensionality from 625 to 120 generated from one residual image as a 4th order co-occurrence matrix is considered. Two experiments have been reported to demonstrate its effectiveness. In breaking the HUGO, the proposed mapping scheme has been applied to the frame work of the state-of-the-art [13] with some minor modification. With a total number of 15,840 features the new method can achieve 87.17% accuracy in BOSSbase ver. 0.92 at 0.4 bpp, outperforming the state-of-the-art.