PNet-IDS: A Lightweight and Generalizable Convolutional Neural Network for Intrusion Detection in Internet of Things

Network Intrusion Detection Systems (NIDS) play a crucial role in IoT security. In recent years, deep learning-based intrusion detection systems have demonstrated excellent performance. However, the high computational and storage requirements make these impractical for most IoT devices. To address t...

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Hlavní autoři:	Auwal Sani Iliyasu, Abdul Jabbar Siddiqui, Houbing Song, Fahad Jibrin Abdu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Deep learning convolutional neural network (CNN) Internet of Things (IoT) knowledge distillation (KD) lightweight models network intrusion detection system (NIDS)
On-line přístup:	https://ieeexplore.ieee.org/document/11020677/
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