Malware and Ransomware Detection Models

Abstract

Cybercrime is one of the major digital threats of this century. In particular, ransomware attacks have significantly increased, resulting in global damage costs of tens of billion dollars. In this paper, we train and test different Machine Learning and Deep Learning models for malware detection, malware classification and ransomware detection. We introduce a novel and flexible ransomware detection model that combines two optimized models. Our detection results on a limited dataset demonstrate good accuracy and F1 scores