Anomaly Detection using IoT Sensor-Assisted ConvLSTM Models for Connected Vehicles.
Ahmed ZekryAhmed SayedMohamed MoussaMohamed ElhabibyPublished in: VTC Spring (2021)
Keyphrases
- anomaly detection
- intrusion detection
- one class support vector machines
- network intrusion detection
- anomalous behavior
- computer security
- detecting anomalies
- probabilistic model
- network security
- network intrusion
- network traffic
- sensor data
- behavior analysis
- network anomaly detection
- sensor networks
- unsupervised anomaly detection
- data assimilation
- data sets
- detect anomalies
- multiple models
- self organizing maps
- model selection
- feature selection
- computer vision