Securing Edge Devices: Malware Classification with Dual-Attention Deep Network

Securing Edge Devices: Malware Classification with Dual-Attention Deep Network

Detecting malware is a crucial defense mechanism against potential cyber-attacks. However, current methods illustrate significant limitations in achieving high performance while maintaining faster inference on edge devices. This study proposes a novel deep network with dual-attention feature refinem...

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Bibliographic Details
Main Author: Gasim Alandjani
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Applied Sciences
Subjects:
IoT malware classification
malware detection
deep learning
dual-attention
edge device
Online Access:https://www.mdpi.com/2076-3417/14/11/4645

Internet

https://www.mdpi.com/2076-3417/14/11/4645

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