Intrusion Detection Method for Internet of Vehicles Based on Parallel Analysis of Spatio-Temporal Features

Intrusion Detection Method for Internet of Vehicles Based on Parallel Analysis of Spatio-Temporal Features

The problems with network security that the Internet of Vehicles (IoV) faces are becoming more noticeable as it continues to evolve. Deep learning-based intrusion detection techniques can assist the IoV in preventing network threats. However, previous methods usually employ a single deep learning mo...

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Bibliographic Details
Main Authors: Ma, H. (Author), Wang, K. (Author), Wu, H. (Author), Xing, L. (Author), Zhang, X. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
article
attention
extraction
False positive rates
Feature extraction
internet of things
Internet of vehicle
Internet of Vehicles
intrusion detection
Intrusion detection
Intrusion detection method
Intrusion-Detection
Long short-term memory
multilayer perceptron
network security
Network security
Networks security
Parallel analysis
positivity rate
short term memory
Spatial features
Spatiotemporal feature
spatio-temporal features
Temporal features
Vehicle traffic
Vehicles
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