“…Bilar [6] proposed using mnemonics of assembly instructions from file content as a predictor for malware. Statistical machine learning and data science methods [9] have been increasingly used for malware detection, including approaches based on support vector machines, logistic regression, Naïve Bayes, neural networks, deep learning, wavelet transforms, decision trees and k-nearest neighbors [4,8,13,16,[29][30][31][32]37].…”