A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic

Research article (Vehicular Communications, 2022) · cited 129× · AI/ML
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A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic

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A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-deep-learning-based-intrusion-detection-system-using-spatial-temporal-representation-of-in-vehicle-network-traf
MLA “A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-deep-learning-based-intrusion-detection-system-using-spatial-temporal-representation-of-in-vehicle-network-traf.
BibTeX @misc{4ortxyz_a-hybrid-deep-learning-based-intrusion-detection-system-using-spatial-temporal-representation-of-in-vehicle-network-traf_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-deep-learning-based-intrusion-detection-system-using-spatial-temporal-representation-of-in-vehicle-network-traf}, note = {Accessed: 2026-05-24}}
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