Propose an adaptive over-sampling for imbalanced data learning in the false positive reduction of MAs. Propose different ensemble classifiers incorporated with the adaptive over-sampling algorithm. Comprehensive experiments have been conducted to demonstrate the effect of the ensemble based over-sampling. Implement a complete automated systems for the detection of MAs.