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Malware and Ransomware Detection Models. (arXiv:2207.02108v1 [cs.CR])
July 6, 2022, 1:20 a.m. | Benjamin Marais, Tony Quertier, Stéphane Morucci
cs.CR updates on arXiv.org arxiv.org
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.
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