An interpretable semi-supervised system for detecting cyberattacks using anomaly detection in industrial scenarios

Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente. An interpretable semi-supervised system for detecting cyberattacks using anomaly detection in industrial scenarios. IET Information Security, 17(4):553-566, July 2023. [doi]

@article{GomezMCC23-0,
  title = {An interpretable semi-supervised system for detecting cyberattacks using anomaly detection in industrial scenarios},
  author = {Ángel Luis Perales Gómez and Lorenzo Fernández Maimó and Alberto Huertas Celdrán and Félix J. García Clemente},
  year = {2023},
  month = {July},
  doi = {10.1049/ise2.12115},
  url = {https://doi.org/10.1049/ise2.12115},
  researchr = {https://researchr.org/publication/GomezMCC23-0},
  cites = {0},
  citedby = {0},
  journal = {IET Information Security},
  volume = {17},
  number = {4},
  pages = {553-566},
}