An Anomaly Detection Approach for Realtime Identification Systems Based on Centroids.
Álvaro MichelenaFrancisco Zayas-GatoEsteban JoveJosé Luís Casteleiro-RocaHéctor QuintiánOscar Fontenla-RomeroJosé Luis Calvo-RollePublished in: CISIS-ICEUTE (2022)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- network traffic
- intrusion prevention
- network anomaly detection
- one class support vector machines
- computer security
- anomalous behavior
- intrusion detection system
- network intrusion detection
- unsupervised anomaly detection
- detecting anomalous
- clustering algorithm
- unsupervised learning
- network security
- computer systems
- neural network
- malware detection
- data sets
- detect anomalies
- probabilistic model
- active learning
- information systems
- connectionist systems
- computer vision
- computer network security