The elements of artificial intelligence: an introduction using LISP
The elements of artificial intelligence: an introduction using LISP
Intelligent systems for engineers and scientists (2nd ed.)
Intelligent systems for engineers and scientists (2nd ed.)
Fuzzy and Neural Approaches in Engineering
Fuzzy and Neural Approaches in Engineering
Intelligent Hybrid Systems
Hybrid Genetic Algorithms for Feature Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian image steganalysis approach to estimate the embedded secret message
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Neural network based steganalysis in still images
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Genetic Algorithm Based Optimal Block Mapping Method for LSB Substitution
IIH-MSP '06 Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia
Inter-frame Correlation Based Compressed Video Steganalysis
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 3 - Volume 03
Detect Information-Hiding Type and Length in JPEG Images by Using Neuro-fuzzy Inference Systems
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 5 - Volume 05
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Intelligent steganalytic system: application on natural language environment
WSEAS Transactions on Systems and Control
A formulation of conditional states on steganalysis approach
WSEAS Transactions on Mathematics
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This paper presents gives a consolidated view of digital media steganalysis from the perspective of computational intelligence (CI). The environment of digital media steganalysis can be divided into three (3) domains which are image steganalysis, audio steganalysis, and video steganalysis. Three (3) major methods have also been identified in the computational intelligence based on these steganalysis domains which are bayesian, neural network, and genetic algorithm. Each of these methods has pros and cons. Therefore, it depends on the steganalyst to use and choose a suitable method based on their purposes and its environment.