Ensemble feature selection with discriminative and representative properties for malware detection


Malware data are typically depicted with extremely high-dimensional features, which lays an excessive computational burden on detection methods. For the sake of effectiveness and efficiency, feature selection is an indispensable part for malware detection. In this paper, we propose an ensemble feature selection method with integration of discriminative and… (More)
DOI: 10.1109/INFCOMW.2016.7562161

2 Figures and Tables


  • Presentations referencing similar topics