Evaluation of Anomaly Detection for Cybersecurity Using Inductive Node Embedding with Convolutional Graph Neural Networks.
Amani Abou RidaRabih AmhazPierre ParrendPublished in: COMPLEX NETWORKS (2021)
Keyphrases
- anomaly detection
- neural network
- intrusion detection
- connectionist systems
- directed graph
- nodes of a graph
- detecting anomalies
- network traffic
- unsupervised anomaly detection
- anomalous behavior
- graph structure
- computer security
- pattern recognition
- network anomaly detection
- intrusion detection system
- network intrusion detection
- detecting anomalous
- genetic algorithm
- network security
- detect anomalies
- unsupervised learning
- computer vision
- training data
- malware detection
- evolutionary algorithm
- one class support vector machines
- negative selection algorithm
- sparse pca
- maximum likelihood
- cumulative sum
- machine learning