Image‐based malware classification using VGG19 network and spatial convolutional attention
In recent years the amount of malware spreading through the internet and infecting computers and other communication devices has tremendously increased. To date, countless techniques and methodologies have been proposed to detect and neutralize these malicious agents. However, as new and automated m...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/94493/1/AzlanMohdZain2021_ImageBasedMalwareClassification.pdf http://eprints.utm.my/id/eprint/94493/ http://dx.doi.org/10.3390/electronics10192444 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Malaysia |
Language: | English |
Be the first to leave a comment!