Radon transform based malware classification in cyber-physical system using deep learning

Radon transform based malware classification in cyber-physical system using deep learning

The development of cyber-physical systems entails the growth and diversity of malware, which increases the scale of cybersecurity threats. Attackers use malicious software to compromise various components of cyber-physical systems. Existing technologies make it possible to reduce the risk of malware...

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Bibliographic Details
Main Authors: Rasim Alguliyev, Ramiz Aliguliyev, Lyudmila Sukhostat
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Results in Control and Optimization
Subjects:
Malware classification
Cyber-physical system
Radon transform
Transfer learning
Deep neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2666720724000122

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http://www.sciencedirect.com/science/article/pii/S2666720724000122

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