An Ensemble of Classifiers Approach to Steganalysis

Sevinc Bayram, Ahmet Emir Dirik, Husrev Taha Sencar, Nasir Memon
2010 2010 20th International Conference on Pattern Recognition  
Most work on steganalysis, except a few exceptions, have primarily focused on providing features with high discrimination power without giving due consideration to issues concerning practical deployment of steganalysis methods. In this work, we focus on machine learning aspect of steganalyzer design and utilize a hierarchical ensemble of classifiers based approach to tackle two main issues. Firstly, proposed approach provides a workable and systematic procedure to incorporate several
more » ... rs together in a composite steganalyzer to improve detection performance in a scalable and cost-effective manner. Secondly, since the approach can be readily extended to multi-class classification it can also be used to infer the steganographic technique deployed in generation of a stego-object. We provide results to demonstrate the potential of the proposed approach.
doi:10.1109/icpr.2010.1064 dblp:conf/icpr/BayramDSM10 fatcat:kvggbfe7szb7lniwwpybaqicae