An abnormal traffic detection method using GCN-BiLSTM-Attention in the internet of vehicles environment

An abnormal traffic detection method using GCN-BiLSTM-Attention in the internet of vehicles environment

Abstract In-vehicle network intrusion detection tasks, it is usually necessary to simultaneously meet the requirements of low computational power consumption, real-time response, and high detection accuracy. In response to the class imbalance problem in existing vehicle network anomaly flow detectio...

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Bibliographic Details
Main Authors: Xueli Wang, Qin Wang
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Internet of Vehicles
Abnormal traffic detection
Graph convolutional neural network
Attention mechanism
BiLSTM
Online Access:https://doi.org/10.1186/s13638-023-02274-z

Internet

https://doi.org/10.1186/s13638-023-02274-z

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