Large scale machine learning for the detection and classification of malware

A meta-model trained using deep learning that finds the simplest classifiers to characterize and assign malware into their corresponding families is introduced that can determine when simple and less expensive malware characterization will suffice to accurately classify malicious executables, or when more computationally expensive descriptions are required.