Urban Anomaly Detection by processing Mobile Traffic Traces with LSTM Neural Networks.
Hoang Duy TrinhLorenza GiupponiPaolo DiniPublished in: SECON (2019)
Keyphrases
- anomaly detection
- network traffic
- neural network
- connectionist systems
- detect anomalies
- intrusion detection
- anomalous behavior
- traffic data
- recurrent neural networks
- one class support vector machines
- network intrusion detection
- computer security
- intrusion detection system
- traffic congestion
- detecting anomalies
- network anomaly detection
- unsupervised anomaly detection
- behavior analysis
- data processing
- detecting anomalous
- mobile devices
- traffic flow
- context aware
- pattern recognition
- network security
- negative selection algorithm
- malware detection
- computer networks
- self organizing maps
- network intrusion
- unsupervised learning
- artificial neural networks
- feature space
- normal traffic
- genetic algorithm