Efficient Malware Classification by Binary Sequences with One-Dimensional Convolutional Neural Networks

The rapid increase of malware attacks has become one of the main threats to computer security. Finding the best way to detect malware has become a critical task in cybersecurity. Previous work shows that machine learning approaches could be a solution to address this problem. Many proposed methods c...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Wei-Cheng Lin, Yi-Ren Yeh
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
Subjects:	malware classification binary code convolutional neural networks
Online Access:	https://www.mdpi.com/2227-7390/10/4/608