NDSS 2020 Limits of Machine Learning Classifiers Based on Static Analysis Features

SESSION 9A-2 When Malware is Packin’ Heat; Limits of Machine Learning Classifiers Based on Static Analysis Features Machine learning techniques are widely used in addition to signatures and heuristics to increase the detection rate of anti-malware software, as they automate the creation of detection models, making it possible to handle an ever-increasing number of new malware samples. In order to foil the analysis of anti-malware systems and evade detection, malware uses packing and other forms of obfuscat