%0 Journal Article %1 journals/vcomm/LoATACK22 %A Lo, Wei %A AlQahtani, Hamed %A Thakur, Kutub %A Almadhor, Ahmad S. %A Chander, Subhash %A Kumar, Gulshan %D 2022 %J Veh. Commun. %K dblp %P 100471 %T A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic. %U http://dblp.uni-trier.de/db/journals/vcomm/vcomm35.html#LoATACK22 %V 35

@article{journals/vcomm/LoATACK22, added-at = {2023-05-26T00:00:00.000+0200}, author = {Lo, Wei and AlQahtani, Hamed and Thakur, Kutub and Almadhor, Ahmad S. and Chander, Subhash and Kumar, Gulshan}, biburl = {https://www.bibsonomy.org/bibtex/217a337b824b9f525bd2320d068d2516a/dblp}, ee = {https://doi.org/10.1016/j.vehcom.2022.100471}, interhash = {dae9afc9aa59fd347151c5281dad0436}, intrahash = {17a337b824b9f525bd2320d068d2516a}, journal = {Veh. Commun.}, keywords = {dblp}, pages = 100471, timestamp = {2024-04-08T11:09:10.000+0200}, title = {A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic.}, url = {http://dblp.uni-trier.de/db/journals/vcomm/vcomm35.html#LoATACK22}, volume = 35, year = 2022 }