Intrusion Detection System Based on Deep Neural Network and Incremental Learning for In-Vehicle CAN Networks

Jiaying Lin, Yehua Wei, Wenjia Li, Jing Long. Intrusion Detection System Based on Deep Neural Network and Incremental Learning for In-Vehicle CAN Networks. In Guojun Wang 0001, Kim-Kwang Raymond Choo, Ryan K. L. Ko, Yang Xu 0013, Bruno Crispo, editors, Ubiquitous Security - First International Conference, UbiSec 2021, Guangzhou, China, December 28-31, 2021, Revised Selected Papers. Volume 1557 of Communications in Computer and Information Science, pages 255-267, Springer, 2021. [doi]

@inproceedings{LinWLL21,
  title = {Intrusion Detection System Based on Deep Neural Network and Incremental Learning for In-Vehicle CAN Networks},
  author = {Jiaying Lin and Yehua Wei and Wenjia Li and Jing Long},
  year = {2021},
  doi = {10.1007/978-981-19-0468-4_19},
  url = {https://doi.org/10.1007/978-981-19-0468-4_19},
  researchr = {https://researchr.org/publication/LinWLL21},
  cites = {0},
  citedby = {0},
  pages = {255-267},
  booktitle = {Ubiquitous Security - First International Conference, UbiSec 2021, Guangzhou, China, December 28-31, 2021, Revised Selected Papers},
  editor = {Guojun Wang 0001 and Kim-Kwang Raymond Choo and Ryan K. L. Ko and Yang Xu 0013 and Bruno Crispo},
  volume = {1557},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-19-0468-4},
}