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

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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Bibliographic Details
Main Authors: Mohammed S. Alshehri, Jawad Ahmad, Sultan Almakdi, Mimonah Al Qathrady, Yazeed Yasin Ghadi, William J. Buchanan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Botnets
botnet attacks
bashlite
intrusion detection
Mirai
Online Access:https://ieeexplore.ieee.org/document/10457002/

Internet

https://ieeexplore.ieee.org/document/10457002/

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