Enhancing Multiclass Malware Classification in Resource-Constrained Environments
A robust, lightweight machine learning model featuring LightGBM classifier with SMOTE oversampling and SOM-US undersampling techniques for data balancing, as well as well-engineered feature selection through Genetic Algorithm is proposed, demonstrating a significant enhancement in terms of accuracy from the current sta...