A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT. Morales-Molina, C. D., Hernandez-Suarez, A., Sanchez-Perez, G., Toscano-Medina, L. K., Pérez-Meana, H., Olivares-Mercado, J., Portillo-Portillo, J., Sanchez, V., & García-Villalba, L. J. Sensors, 21(9):3173, 2021.
A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT [link]Paper  doi  bibtex   
@article{DBLP:journals/sensors/Morales-MolinaH21,
  author       = {Carlos D. Morales{-}Molina and
                  Aldo Hernandez{-}Suarez and
                  Gabriel Sanchez{-}Perez and
                  Linda K. Toscano{-}Medina and
                  H{\'{e}}ctor P{\'{e}}rez{-}Meana and
                  Jesus Olivares{-}Mercado and
                  Jos{\'{e}} Portillo{-}Portillo and
                  Victor Sanchez and
                  Luis Javier Garc{\'{\i}}a{-}Villalba},
  title        = {A Dense Neural Network Approach for Detecting Clone {ID} Attacks on
                  the {RPL} Protocol of the IoT},
  journal      = {Sensors},
  volume       = {21},
  number       = {9},
  pages        = {3173},
  year         = {2021},
  url          = {https://doi.org/10.3390/s21093173},
  doi          = {10.3390/S21093173},
  timestamp    = {Tue, 13 Jul 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/sensors/Morales-MolinaH21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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