Research on Intrusion Detection Method Based on Transformer and CNN-BiLSTM in Internet of Things

Research on Intrusion Detection Method Based on Transformer and CNN-BiLSTM in Internet of Things

With the widespread deployment of Internet of Things (IoT) devices, their complex network environments and open communication modes have made them prime targets for cyberattacks. Traditional Intrusion Detection Systems (IDS) face challenges in handling complex attack types, data imbalance, and featu...

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Bibliographic Details
Main Authors: Chunhui Zhang, Jian Li, Naile Wang, Dejun Zhang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
IoT security
intrusion detection
deep learning
data imbalance
feature selection
Online Access:https://www.mdpi.com/1424-8220/25/9/2725
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