GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening. Ioannou, I., Nagaradjane, P., Angin, P., Balasubramanian, P., Kavitha, K. J., Murugan, P., & Vassiliou, V. Comput. Commun., 218:209–239, 2024.
GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening [link]Paper  doi  bibtex   
@article{DBLP:journals/comcom/IoannouNABKMV24,
  author       = {Iacovos Ioannou and
                  Prabagarane Nagaradjane and
                  Pelin Angin and
                  Palaniappan Balasubramanian and
                  Karthick Jeyagopal Kavitha and
                  Palani Murugan and
                  Vasos Vassiliou},
  title        = {{GEMLIDS-MIOT:} {A} Green Effective Machine Learning Intrusion Detection
                  System based on Federated Learning for Medical IoT network security
                  hardening},
  journal      = {Comput. Commun.},
  volume       = {218},
  pages        = {209--239},
  year         = {2024},
  url          = {https://doi.org/10.1016/j.comcom.2024.02.023},
  doi          = {10.1016/J.COMCOM.2024.02.023},
  timestamp    = {Sun, 04 Aug 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/comcom/IoannouNABKMV24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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