A Framework for Verifiable and Auditable Collaborative Anomaly Detection.
Gabriele SantinInna SkarbovskyFabiana FournierBruno LepriPublished in: IEEE Access (2022)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- intrusion detection system
- computer security
- network anomaly detection
- behavior analysis
- one class support vector machines
- network intrusion detection
- network traffic
- data assimilation
- negative selection algorithm
- data sets
- network security
- training data
- feature extraction
- computer vision
- data mining
- neural network