On the feasibility of adversarial machine learning in malware and network intrusion detection

Andrea Venturi, Claudio Zanasi. On the feasibility of adversarial machine learning in malware and network intrusion detection. In Mauro Andreolini, Mirco Marchetti, Dimiter R. Avresky, editors, 20th IEEE International Symposium on Network Computing and Applications, NCA 2021, Boston, MA, USA, November 23-26, 2021. pages 1-8, IEEE, 2021. [doi]

@inproceedings{VenturiZ21,
  title = {On the feasibility of adversarial machine learning in malware and network intrusion detection},
  author = {Andrea Venturi and Claudio Zanasi},
  year = {2021},
  doi = {10.1109/NCA53618.2021.9685709},
  url = {https://doi.org/10.1109/NCA53618.2021.9685709},
  researchr = {https://researchr.org/publication/VenturiZ21},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {20th IEEE International Symposium on Network Computing and Applications, NCA 2021, Boston, MA, USA, November 23-26, 2021},
  editor = {Mauro Andreolini and Mirco Marchetti and Dimiter R. Avresky},
  publisher = {IEEE},
  isbn = {978-1-6654-9550-9},
}