[HTML][HTML] Network intrusion detection model based on CNN and GRU
B Cao, C Li, Y Song, Y Qin, C Chen - Applied Sciences, 2022 - mdpi.com
A network intrusion detection model that fuses a convolutional neural network and a gated
recurrent unit is proposed to address the problems associated with the low accuracy of …
recurrent unit is proposed to address the problems associated with the low accuracy of …
Network Intrusion Detection Model Based on CNN and GRU.
B Cao, C Li, Y Song, Y Qin… - Applied Sciences (2076 …, 2022 - search.ebscohost.com
A network intrusion detection model that fuses a convolutional neural network and a gated
recurrent unit is proposed to address the problems associated with the low accuracy of …
recurrent unit is proposed to address the problems associated with the low accuracy of …
Network Intrusion Detection Model Based on CNN and GRU
B Cao, C Li, Y Song, Y Qin, C Chen - agris.fao.org
A network intrusion detection model that fuses a convolutional neural network and a gated
recurrent unit is proposed to address the problems associated with the low accuracy of …
recurrent unit is proposed to address the problems associated with the low accuracy of …
Network Intrusion Detection Model Based on CNN and GRU
B Cao, C Li, Y Song, Y Qin, C Chen - Applied Sciences, 2022 - search.proquest.com
A network intrusion detection model that fuses a convolutional neural network and a gated
recurrent unit is proposed to address the problems associated with the low accuracy of …
recurrent unit is proposed to address the problems associated with the low accuracy of …