Reliable JPEG steganalysis based on multi-directional correlations

Authors:
Yong Wang;Jiufen Liu;Weiming Zhang;Shiguo Lian
Affiliations:
Department of Applied Mathematics, Information Science and Technology Institute, Zhengzhou, China;Department of Applied Mathematics, Information Science and Technology Institute, Zhengzhou, China;Department of Applied Mathematics, Information Science and Technology Institute, Zhengzhou, China;France Telecom R&D (Orange Labs), Beijing, China
Venue:
Image Communication
Year:
2010

Citing 20
Cited 0

Detecting LSB Steganography in Color and Gray-Scale Images

IEEE MultiMedia
An Implementation of Key-Based Digital Signal Steganography

IHW '01 Proceedings of the 4th International Workshop on Information Hiding
F5-A Steganographic Algorithm

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
LOCO-I: a low complexity, context-based, lossless image compression algorithm

DCC '96 Proceedings of the Conference on Data Compression
Reliable detection of LSB steganography in color and grayscale images

MM&Sec '01 Proceedings of the 2001 workshop on Multimedia and security: new challenges
Defending against statistical steganalysis

SSYM'01 Proceedings of the 10th conference on USENIX Security Symposium - Volume 10
Error detection and concealment for video transmission using information hiding

Image Communication
Maximizing Steganographic Embedding Efficiency by Combining Hamming Codes and Wet Paper Codes

Information Hiding
Handbook of Research on Secure Multimedia Distribution

Handbook of Research on Secure Multimedia Distribution
Asymptotic behavior of the ZZW embedding construction

IEEE Transactions on Information Forensics and Security
Steganalysis of YASS

IEEE Transactions on Information Forensics and Security
A Markov process based approach to effective attacking JPEG steganography

IH'06 Proceedings of the 8th international conference on Information hiding
YASS: yet another steganographic scheme that resists blind steganalysis

IH'07 Proceedings of the 9th international conference on Information hiding
Near-optimal codes for information embedding in gray-scale signals

IEEE Transactions on Information Theory
LIBSVM: A library for support vector machines

ACM Transactions on Intelligent Systems and Technology (TIST)
Feature-Based steganalysis for JPEG images and its implications for future design of steganographic schemes

IH'04 Proceedings of the 6th international conference on Information Hiding
Optimized Feature Extraction for Learning-Based Image Steganalysis

IEEE Transactions on Information Forensics and Security
Detection of Double-Compression in JPEG Images for Applications in Steganography

IEEE Transactions on Information Forensics and Security
A feature-based classification technique for blind image steganalysis

IEEE Transactions on Multimedia

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the wide application of JPEG images, JPEG steganography attracts more and more researchers, and accordingly, the detection of JPEG steganography becomes also important. There exist some blind JPEG steganalysis methods, while most of them are either unreliable or time-consuming. This paper presents a reliable and efficient steganalysis scheme to detect the popular JPEG steganography algorithms. First, a novel kind of transition probability matrix is constructed to describe correlations of the quantized DCT coefficients in multi-directions. Then, by merging two different calibrations, a 96-dimensional feature vector is extracted. Additionally, the SVM (Support Vector Machine) is trained to build the steganalyzer. Finally, the proposed feature is evaluated, and a series of experiments are performed on 4 kinds of typical steganography in different embedding ratios, showing that for these steganography algorithms, the new method is more reliable than the best effective blind detection methods existed.