Reliable Steganalysis Using a Minimum Set of Samples and Features
Open Access
- 1 January 2009
- journal article
- research article
- Published by Springer Nature in EURASIP Journal on Information Security
- Vol. 2009 (1) , 1-13
- https://doi.org/10.1155/2009/901381
Abstract
No abstract availableKeywords
This publication has 7 references indexed in Scilit:
- The square root law of steganographic capacity for Markov coversPublished by SPIE-Intl Soc Optical Eng ,2009
- Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to speech emotion recognitionSignal Processing, 2008
- Image complexity and feature mining for steganalysis of least significant bit matching steganographyInformation Sciences, 2008
- Merging Markov and DCT features for multi-class JPEG steganalysisPublished by SPIE-Intl Soc Optical Eng ,2007
- Extreme learning machine: Theory and applicationsNeurocomputing, 2006
- Mutual information for the selection of relevant variables in spectrometric nonlinear modellingChemometrics and Intelligent Laboratory Systems, 2006
- New multilevel DCT, feature vectors, and universal blind steganalysisPublished by SPIE-Intl Soc Optical Eng ,2005