Unveiling the potential of graph neural networks for BGP anomaly detection.
Hamid LatifJordi PaillisseJinze YangAlbert Cabellos-AparicioPere Barlet-RosPublished in: GNNet@CoNEXT (2022)
Keyphrases
- anomaly detection
- neural network
- connectionist systems
- intrusion detection
- network intrusion detection
- network traffic
- detecting anomalies
- pattern recognition
- anomalous behavior
- unsupervised anomaly detection
- computer security
- intrusion detection system
- behavior analysis
- network security
- genetic algorithm
- one class support vector machines
- network anomaly detection
- detecting anomalous
- data sets
- cumulative sum
- unsupervised learning
- computational intelligence
- computer vision
- detect anomalies
- machine learning