Federated deep Q-learning networks for service-based anomaly detection and classification in edge-to-cloud ecosystems.
Mays F. Al-NadayVlad DobreMartin ReedSalman ToorBruno VolckaertFilip De TurckPublished in: Ann. des Télécommunications (2024)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- unsupervised learning
- anomalous behavior
- network intrusion detection
- network traffic
- network anomaly detection
- detect anomalies
- computer security
- pattern recognition
- feature extraction
- text classification
- feature vectors
- network intrusion
- behavior analysis
- feature selection
- machine learning
- one class support vector machines
- intrusion detection system
- support vector
- computer networks
- reinforcement learning
- decision trees
- unsupervised anomaly detection
- cloud computing
- dimensionality reduction
- support vector machine
- training set
- social networks