SkipGateNet: A Lightweight CNN-LSTM Hybrid Model With Learnable Skip Connections for Efficient Botnet Attack Detection in IoT

The rise of Internet of Things (IoT) has led to increased security risks, particularly from botnet attacks that exploit IoT device vulnerabilities. This situation necessitates effective Intrusion Detection Systems (IDS), that are accurate, lightweight, and fast (having less inference time), designed...

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Bibliografiske detaljer

Principais autores:	Mohammed S. Alshehri, Jawad Ahmad, Sultan Almakdi, Mimonah Al Qathrady, Yazeed Yasin Ghadi, William J. Buchanan
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Botnets botnet attacks bashlite intrusion detection Mirai
Online adgang:	https://ieeexplore.ieee.org/document/10457002/
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