In-vehicle network intrusion detection systems: a systematic survey of deep learning-based approaches

Developments in connected and autonomous vehicle technologies provide drivers with many convenience and safety benefits. Unfortunately, as connectivity and complexity within vehicles increase, more entry points or interfaces that may directly or indirectly access in-vehicle networks (IVNs) have been...

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Bibliographic Details
Main Authors: Feng Luo, Jiajia Wang, Xuan Zhang, Yifan Jiang, Zhihao Li, Cheng Luo
Format: Article
Language:English
Published: PeerJ Inc. 2023-10-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-1648.pdf