Optimasi Metode Supervised Learning Dengan Menggunakan Particle Swarm Optimization Untuk Deteksi Malware
Mayadi -,
Ismaniah -,
Tyastuti Sri Lestari
et al.
Abstract:The purpose of this research is for malware detection to solve problems that arise when users access the internet and download files that have been infiltrated by malware. One of the popular solutions today is to use machine learning techniques to train many malware models by considering special features that allow prediction of whether particular software is malware or harmless using machine learning algorithms. The dataset used is a malware detection dataset from Kaggle, which will then be classified using t… Show more
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