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Lopez-Martin, M.; Carro, B.; Sánchez-Esguevillas, A.; Lloret, J. (2017). Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT. Sensors. 17(9):1-17. https://doi.org/10.3390/s17091967
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/121260
Título: | Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT | |
Autor: | Lopez-Martin, Manuel Carro, Belén Sánchez-Esguevillas, Antonio | |
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[EN] The purpose of a Network Intrusion Detection System is to detect intrusive, malicious activities or policy violations in a host or host's network. In current networks, such systems are becoming more important as the ...[+]
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Derechos de uso: | Reconocimiento (by) | |
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Versión del editor: | http://doi.org/10.3390/s17091967 | |
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This work has been partially funded by the Ministerio de Economia y Competitividad del Gobierno de Espana and the Fondo de Desarrollo Regional (FEDER) within the project "Inteligencia distribuida para el control y adaptacion ...[+]
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