Fast and Progressive Misbehavior Detection in Internet of Vehicles Based on Broad Learning and Incremental Learning Systems

IEEE Internet of Things Journal(2022)

引用 20|浏览17
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摘要
In recent years, deep learning (DL) has been widely used in vehicle misbehavior detection and has attracted great attention due to its powerful nonlinear mapping ability. However, because of the large number of network parameters, the training processes of these methods are time consuming. Besides, the existing detection methods lack scalability; thus, they are not suitable for Internet of Vehicle...
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关键词
Convolutional neural networks,Feature extraction,Machine learning algorithms,Deep learning,Global Positioning System,Scalability,Safety
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