Combating highly imbalanced steganalysis with small training samples using feature selection, .

•Considering a particular highly imbalanced steganalysis with small training samples.•Providing a systematic comparison of eight feature selection metrics.•Evaluating the efficiency of each metric.•Examining the performance of three types of methods and their combinations.•Investigating the effect of several factors on the performance of feature selection.