… of deep learning in botnet detection scenarios, a botnet … -based detection of IoT botnet attacks
using deep autoencoders[… Things for network forensic analytics: bot-IoT dataset[J]. Future …

… An efficient authentication and access control scheme for perception layer of Internet of …
CorrAUC: A malicious bot-iot traffic detection method in IoT network using machine-learning …

… The analysis results can guide the selection of adaptive … of things, anomaly detection, network
intrusion, cyber attack … of things traffic using vector convolutional deep learning approach …