An improved image steganalysis using a novel feature selection algorithm based on artificial bee colony

ABSTRACT: One of the most important phases of pre-processing is Feature selection, which can improve the predictive accuracy of steganalysis. In this study, we have presented a novel feature selection-based method to image steganalysis for detecting stego images from cover images based on artificial bee colony (ISBC). The experiments show that the proposed method is easy to be employed for steganalysis purposes. Moreover, its overall performance is better than recent ABC-based feature selection methods.