AI-based Malware and Ransomware Detection Models

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, mal...

Full description

Saved in:
Bibliographic Details
Published inarXiv.org
Main Authors Marais, Benjamin, Quertier, Tony, Morucci, Stéphane
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 28.11.2022
Subjects
Crime
Cybersecurity
Deep learning
Machine learning
Malware
Ransomware
Online AccessGet full text

Cover

More Information
Summary: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 solution that combines two optimized models for malware and ransomware detection. Our results demonstrate some improvements both in terms of detection performances and flexibility. In particular, our combined models pave the way for easier future enhancements using specialized and thus interchangeable detection modules.
ISSN:2331-8422