Information Hiding Terminology - Results of an Informal Plenary Meeting and Additional Proposals
Proceedings of the First International Workshop on Information Hiding
Attacks on Steganographic Systems
IH '99 Proceedings of the Third International Workshop on Information Hiding
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
A steganographic method for images by pixel-value differencing
Pattern Recognition Letters
Hide and Seek: An Introduction to Steganography
IEEE Security and Privacy
A new approach to reliable detection of LSB steganography in natural images
Signal Processing - Special section: Security of data hiding technologies
Signatures versus histograms: Definitions, distances and algorithms
Pattern Recognition
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
A lossless data hiding scheme based on three-pixel block differences
Pattern Recognition
Lossless nibbled data embedding scheme based on difference expansion
Image and Vision Computing
Image categorization: Graph edit distance+edge direction histogram
Pattern Recognition
Detection of LSB steganography via sample pair analysis
IEEE Transactions on Signal Processing
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Improving security of pixel value differencing steganographic method
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Improved steganographic method preserving pixel-value differencing histogram with modulus function
EURASIP Journal on Advances in Signal Processing
Multimedia Tools and Applications
An adaptive LSB matching steganography based on octonary complexity measure
Multimedia Tools and Applications
Steganography content detection by means of feedforward neural network
International Journal of Innovative Computing and Applications
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In this paper a steganalysis technique is proposed for pixel-value differencing method. This steganographic method, which is immune against conventional attacks, performs the embedding in the difference of the values of pixel pairs. Therefore, the histogram of the differences of an embedded image is different as compared with a cover image. A number of characteristics are identified in the difference histogram that show meaningful alterations when an image is embedded. Five distinct multilayer perceptrons neural networks are trained to detect different levels of embedding. Every image is fed to all networks and a voting system categorizes the image as stego or cover. The implementation results indicate 88.6% success in correct categorization of the test images that contained more than 20% embedding. Furthermore, using a neural network an estimator is presented which gives an estimate of the amount of the MPVD embedding in an image. Implementation of the estimator showed an average accuracy of 88.3% in the estimation of the amount of embedding.