Detecting Contextual Network Anomalies with Graph Neural Networks.
Hamid LatifJosé Suárez-VarelaAlbert Cabellos-AparicioPere Barlet-RosPublished in: GNNet@CoNEXT (2023)
Keyphrases
- neural network
- dynamic networks
- network architecture
- random walk
- anomaly detection
- graph theory
- detecting anomalies
- complex networks
- hopfield networks
- fully connected
- network model
- detect anomalies
- wireless sensor networks
- pattern recognition
- contextual information
- small world
- hopfield network
- network attacks
- spanning tree
- graphical representation
- network structure
- graph theoretic
- radial basis function network
- hopfield neural network
- training process
- context sensitive
- clustering coefficient
- spiking neural networks
- citation networks
- recurrent networks
- feed forward
- structured data
- peer to peer
- genetic algorithm