An intrusion detection model using improved convolutional deep belief networks for wireless sensor networks
W Wen, C Shang, Z Dong, HC Keh… - International Journal of …, 2021 - inderscienceonline.com
Intrusion detection is a critical issue in the wireless sensor networks (WSNs), specifically for
security applications. In literature, many classification algorithms have been applied to …
security applications. In literature, many classification algorithms have been applied to …
An intrusion detection model using improved convolutional deep belief networks for wireless sensor networks
W Wen, C Shang, Z Dong, HC Keh… - International Journal of …, 2021 - inderscience.com
Intrusion detection is a critical issue in the wireless sensor networks (WSNs), specifically for
security applications. In literature, many classification algorithms have been applied to …
security applications. In literature, many classification algorithms have been applied to …
An intrusion detection model using improved convolutional deep belief networks for wireless sensor networks
W Wen, C Shang, Z Dong, HC Keh… - International Journal of Ad …, 2021 - dl.acm.org
Intrusion detection is a critical issue in the wireless sensor networks (WSNs), specifically for
security applications. In literature, many classification algorithms have been applied to …
security applications. In literature, many classification algorithms have been applied to …