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Wireless Network Intrusion Detection Based on Improved Convolutional Neural Network
2019
IEEE Access
The diversification of wireless network traffic attack characteristics has led to the problems what traditional intrusion detection technology with high false positive rate, low detection efficiency, and poor generalization ability. In order to enhance the security and improve the detection ability of malicious intrusion behavior in a wireless network, this paper proposes a wireless network intrusion detection method based on improved convolutional neural network (ICNN). First, the network
doi:10.1109/access.2019.2917299
fatcat:6zr4af2xlncozg4rol256v37ba