Analisis Static Malware Menggunakan Algoritma Random Forest Machine Learning

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


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%.

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