A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: An Application in Anomaly Detection.
Ali AnaissiBasem SuleimanWidad AlyassinePublished in: ICCS (4) (2022)
Keyphrases
- one class support vector machines
- anomaly detection
- learning algorithm
- intrusion detection
- network intrusion detection
- training data
- detecting anomalies
- anomalous behavior
- e learning
- intrusion detection system
- machine learning
- unsupervised anomaly detection
- active learning
- computer security
- network anomaly detection
- malware detection
- reinforcement learning
- network traffic
- learning process
- behavior analysis
- detect anomalies
- support vector machine
- neural network
- negative selection algorithm
- similarity measure
- network intrusion
- transfer learning
- supervised learning
- normal behavior
- network security
- learning problems
- genetic algorithm
- knn
- detecting anomalous
- data assimilation
- cumulative sum