Morales-Molina, C.D.; Hernandez-Suarez, A.; Sanchez-Perez, G.; Toscano-Medina, L.K.; Perez-Meana, H.; Olivares-Mercado, J.; Portillo-Portillo, J.; Sanchez, V.; Garcia-Villalba, L.J.
A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT. Sensors 2021, 21, 3173.
https://doi.org/10.3390/s21093173
AMA Style
Morales-Molina CD, Hernandez-Suarez A, Sanchez-Perez G, Toscano-Medina LK, Perez-Meana H, Olivares-Mercado J, Portillo-Portillo J, Sanchez V, Garcia-Villalba LJ.
A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT. Sensors. 2021; 21(9):3173.
https://doi.org/10.3390/s21093173
Chicago/Turabian Style
Morales-Molina, Carlos D., Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda K. Toscano-Medina, Hector Perez-Meana, Jesus Olivares-Mercado, Jose Portillo-Portillo, Victor Sanchez, and Luis Javier Garcia-Villalba.
2021. "A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT" Sensors 21, no. 9: 3173.
https://doi.org/10.3390/s21093173
APA Style
Morales-Molina, C. D., Hernandez-Suarez, A., Sanchez-Perez, G., Toscano-Medina, L. K., Perez-Meana, H., Olivares-Mercado, J., Portillo-Portillo, J., Sanchez, V., & Garcia-Villalba, L. J.
(2021). A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT. Sensors, 21(9), 3173.
https://doi.org/10.3390/s21093173
