About this document

Malware Behavior Analysis via ML by misrul Jannah is a document available to read on EtoBox.

This document summarizes a research paper that developed a distributed malware testing environment using Cuckoo Sandbox. It extracted behavioral data from analyzing over 42,000 malware samples dynamically. This data was then used to develop a novel malware type classification approach based on supervised machine learning. Specifically, it used Random Forests classifier with a combination of novel features to achieve high classification rates, with an average AUC of 0.98. The system can potentially be used t

Author

misrul Jannah

Language

EN