Using Convolutional Neural Networks for Classification of Malware represented as Images

Benchmark Model Rank Results
malware-classification-on-malimg-datasetGray-scale IMG CNN#1Accuracy (10-fold): 0.9848Macro F1 (10-fold): 0.9580
malware-classification-on-microsoft-malware-classification-challengeGray-scale IMG CNN#12Accuracy (10-fold): 0.9750LogLoss: 0.184483Macro F1 (10-fold): 0.9400…
malware-classification-on-microsoft-malware-classification-challengeHaralick features + XGBoost#21Accuracy (5-fold): 0.9550
malware-classification-on-microsoft-malware-classification-challengeLBP features + XGBoost#22Accuracy (5-fold): 0.951