BGNN: Detection of BGP Anomalies Using Graph Neural Networks.
Kevin HoarauPierre-Ugo TournouxTahiry RazafindralamboPublished in: ISCC (2022)
Keyphrases
- anomaly detection
- neural network
- detecting anomalies
- detection method
- fuzzy logic
- detection accuracy
- pattern recognition
- intrusion detection
- graph model
- graph theoretic
- automatic detection
- graph theory
- back propagation
- detection algorithm
- random walk
- false positives
- false alarms
- data mining
- graph partitioning
- abnormal behavior
- graph structure
- neural network model
- detect anomalies
- face detection
- genetic algorithm
- self organizing maps
- intrusion detection system
- directed graph
- unsupervised learning
- image segmentation
- normal behavior
- artificial neural networks
- root cause
- graph construction
- object detection
- graph representation
- bipartite graph
- spanning tree
- detection rate
- structured data
- fuzzy systems
- fault diagnosis
- connected components
- graph matching