Hernandez-Suarez, A.; Sanchez-Perez, G.; Toscano-Medina, L.K.; Olivares-Mercado, J.; Portillo-Portilo, J.; Avalos, J.-G.; GarcÃa Villalba, L.J.
Detecting Cryptojacking Web Threats: An Approach with Autoencoders and Deep Dense Neural Networks. Appl. Sci. 2022, 12, 3234.
https://doi.org/10.3390/app12073234
AMA Style
Hernandez-Suarez A, Sanchez-Perez G, Toscano-Medina LK, Olivares-Mercado J, Portillo-Portilo J, Avalos J-G, GarcÃa Villalba LJ.
Detecting Cryptojacking Web Threats: An Approach with Autoencoders and Deep Dense Neural Networks. Applied Sciences. 2022; 12(7):3234.
https://doi.org/10.3390/app12073234
Chicago/Turabian Style
Hernandez-Suarez, Aldo, Gabriel Sanchez-Perez, Linda K. Toscano-Medina, Jesus Olivares-Mercado, Jose Portillo-Portilo, Juan-Gerardo Avalos, and Luis Javier GarcÃa Villalba.
2022. "Detecting Cryptojacking Web Threats: An Approach with Autoencoders and Deep Dense Neural Networks" Applied Sciences 12, no. 7: 3234.
https://doi.org/10.3390/app12073234
APA Style
Hernandez-Suarez, A., Sanchez-Perez, G., Toscano-Medina, L. K., Olivares-Mercado, J., Portillo-Portilo, J., Avalos, J. -G., & GarcÃa Villalba, L. J.
(2022). Detecting Cryptojacking Web Threats: An Approach with Autoencoders and Deep Dense Neural Networks. Applied Sciences, 12(7), 3234.
https://doi.org/10.3390/app12073234