Benchmark Static API Call Datasets for Malware Family Classification. (arXiv:2111.15205v2 [cs.CR] UPDATED)

Nowadays, malware and malware incidents are increasing daily, even with
various antivirus systems and malware detection or classification
methodologies. Machine learning techniques have been the main focus of the
security experts to detect malware and determine their families. Many static,
dynamic, and hybrid techniques have been presented for that purpose. In this
study, the static analysis technique has been applied to malware samples to
extract API calls, which is one of the most used features in machine/deep
learning models as …

api benchmark call classification datasets family malware