Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks.
Yanshen SunYen-Cheng LuKaiqun FuFanglan ChenChang-Tien LuPublished in: J. King Saud Univ. Comput. Inf. Sci. (2022)
Keyphrases
- kalman filter
- detecting anomalous
- convolutional neural networks
- network traffic
- kalman filtering
- intrusion detection
- anomaly detection
- object tracking
- state estimation
- convolutional network
- mean shift
- bayesian filtering
- particle filtering
- state space model
- extended kalman filter
- target tracking
- particle filter
- pairwise
- simultaneous localization and mapping
- intrusion detection system
- data association
- traffic flow
- data mining
- image classification
- computer vision