DeepADV: A Deep Neural Network Framework for Anomaly Detection in VANETs

IEEE Transactions on Vehicular Technology(2021)

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摘要
We are seeing a growth in the number of connected vehicles in Vehicular Ad-hoc Networks (VANETs) to achieve the goal of Intelligent Transportation System (ITS). This is leading to a connected vehicular network scenario with vehicles continuously broadcasting data to other vehicles on the road and the roadside network infrastructure. The presence of a large number of communicating vehicles greatly ...
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关键词
Anomaly detection,Deep learning,Security,Computer architecture,Intrusion detection,Convolutional neural networks,Vehicular ad hoc networks
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