%0 Journal Article %1 journals/peerj-cs/LuoWZJLL23 %A Luo, Feng %A Wang, Jiajia %A Zhang, Xuan %A Jiang, Yifan %A Li, Zhihao %A Luo, Cheng %D 2023 %J PeerJ Comput. Sci. %K dblp %P e1648 %T In-vehicle network intrusion detection systems: a systematic survey of deep learning-based approaches. %U http://dblp.uni-trier.de/db/journals/peerj-cs/peerj-cs9.html#LuoWZJLL23 %V 9

@article{journals/peerj-cs/LuoWZJLL23, added-at = {2023-12-15T00:00:00.000+0100}, author = {Luo, Feng and Wang, Jiajia and Zhang, Xuan and Jiang, Yifan and Li, Zhihao and Luo, Cheng}, biburl = {https://www.bibsonomy.org/bibtex/2c030a28147bafb72c6ee2d7f8fdd7320/dblp}, ee = {https://doi.org/10.7717/peerj-cs.1648}, interhash = {eeafa2f20495ec82edf30c8e9d4eda4e}, intrahash = {c030a28147bafb72c6ee2d7f8fdd7320}, journal = {PeerJ Comput. Sci.}, keywords = {dblp}, pages = {e1648}, timestamp = {2024-04-08T17:38:50.000+0200}, title = {In-vehicle network intrusion detection systems: a systematic survey of deep learning-based approaches.}, url = {http://dblp.uni-trier.de/db/journals/peerj-cs/peerj-cs9.html#LuoWZJLL23}, volume = 9, year = 2023 }