MLIDS: Handling Raw High-Dimensional CAN Bus Data Using Long Short-Term Memory Networks for Intrusion Detection in In-Vehicle Networks

Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa. MLIDS: Handling Raw High-Dimensional CAN Bus Data Using Long Short-Term Memory Networks for Intrusion Detection in In-Vehicle Networks. In 30th International Telecommunication Networks and Applications Conference, ITNAC 2020, Melbourne, Australia, November 25-27, 2020. pages 1-7, IEEE, 2020. [doi]

@inproceedings{DestaOAF20-1,
  title = {MLIDS: Handling Raw High-Dimensional CAN Bus Data Using Long Short-Term Memory Networks for Intrusion Detection in In-Vehicle Networks},
  author = {Araya Kibrom Desta and Shuji Ohira and Ismail Arai and Kazutoshi Fujikawa},
  year = {2020},
  doi = {10.1109/ITNAC50341.2020.9315024},
  url = {https://doi.org/10.1109/ITNAC50341.2020.9315024},
  researchr = {https://researchr.org/publication/DestaOAF20-1},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {30th International Telecommunication Networks and Applications Conference, ITNAC 2020, Melbourne, Australia, November 25-27, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-8827-0},
}