This paper focuses on training machine learning models using the XGBoost and extremely
randomized trees algorithms on two datasets obtained using static and dynamic analysis of …

Malware analysis includes a crucial step after malware detection called malware
categorization, which classifies dangerous files. There have been many reported static and …

In recent years, the utilization of AI in the field of cybersecurity has become more
widespread. Black-box AI models pose a significant challenge in terms of interpretability and …

1 Department of Computer Science and Informatics, University of Energy and Natural
Resources, Sunyani, Ghana 2 Department of Mathematics and ICT, St. John Boscos College …

With the increasing popularity of cell phone use, the risk of malware infections on such
devices has increased, resulting in financial losses for both individuals and organizations …

The use of Machine learning has become the de-facto standard for malware defense due to
the limitations of signature-based, heuristic-based and other cloud-based techniques …