Conference
Open access
2026
A Comparative Study of Machine Learning Algorithms for Real-time Detection of Windows Portable Executable (PE) Malware
Evaluated tree-based ensemble models, Random Forest, XGBoost, and LightGBM, for static malware detection in PE files show that tree-based ensembles outperform deep learning models, such as Multilayer Perceptrons (MLPs) and Convolutional Neural Networks (CNNs), as well as traditional machine learning approaches in handling high-dimensional tabular data.
Aleksandar Sandro Cvetković, S. Adamovic, Marko Šarac
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