Taxonomy and challenges in machine learning-based approaches to detect attacks in the internet of things

Omair Faraj, David Megías, Abdel Mehsen Ahmad, Joaquín García-Alfaro. Taxonomy and challenges in machine learning-based approaches to detect attacks in the internet of things. In Melanie Volkamer, Christian Wressnegger, editors, ARES 2020: The 15th International Conference on Availability, Reliability and Security, Virtual Event, Ireland, August 25-28, 2020. ACM, 2020. [doi]

@inproceedings{FarajMAG20,
  title = {Taxonomy and challenges in machine learning-based approaches to detect attacks in the internet of things},
  author = {Omair Faraj and David Megías and Abdel Mehsen Ahmad and Joaquín García-Alfaro},
  year = {2020},
  doi = {10.1145/3407023.3407048},
  url = {https://doi.org/10.1145/3407023.3407048},
  researchr = {https://researchr.org/publication/FarajMAG20},
  cites = {0},
  citedby = {0},
  booktitle = {ARES 2020: The 15th International Conference on Availability, Reliability and Security, Virtual Event, Ireland, August 25-28, 2020},
  editor = {Melanie Volkamer and Christian Wressnegger},
  publisher = {ACM},
  isbn = {978-1-4503-8833-7},
}