Analisis Static Malware Menggunakan Algoritma Random Forest Machine Learning

Wijayanto, Febri
Putranto, Hasvid Dwi
Toriq, Farhan
Bhayangkara, Dimas Satrya

JURNAL TEKNOLOGI INFORMASI
Vol 9, No 2 (2023): Jurnal Teknologi Informasi

Malware is a malicious software program that aims to damage or steal data from a victim's system. Malware analysis is needed to determine the performance of the malware. Static analysis was used for feature extraction from a total of 10 PEfiles, 5 malware files and 5 benign files. The random forest machine learning algorithm obtained an accuracy of 99.99%.