Adaptive lossless steganographic scheme with centralized difference expansion
Pattern Recognition
Lossless data hiding for color images based on block truncation coding
Pattern Recognition
A fast and effective method to detect multiple least significant bits steganography
Proceedings of the 2008 ACM symposium on Applied computing
Blind Image Watermark Analysis Using Feature Fusion and Neural Network Classifier
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
A Large Payload Data Embedding Technique for Color Images
Fundamenta Informaticae
A high capacity reversible data hiding scheme with edge prediction and difference expansion
Journal of Systems and Software
A fusion of maximum likelihood and structural steganalysis
IH'07 Proceedings of the 9th international conference on Information hiding
Classification of steganalysis techniques: A study
Digital Signal Processing
Reversible Steganography for BTC-compressed Images
Fundamenta Informaticae
A Large Payload Data Embedding Technique for Color Images
Fundamenta Informaticae
Insider threats in corporate environments: a case study for data leakage prevention
Proceedings of the Fifth Balkan Conference in Informatics
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We propose a general framework for the detection of the least significant bit (LSB) steganography using digital media files as cover objects. The new framework exploits high-order statistics of the samples. It can compute a robust estimate of the length of a secret message hidden in the LSBs of samples for a large class of digital media contents such as image, video, and audio, in which the underlying signals consist of correlated samples. A case study on the LSB steganalysis of natural grey-scale and color images and experimental results are reported.