Towards Interpretable Anomaly Detection via Invariant Rule Mining.
Cheng FengPingge HuPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- rule mining
- association rule mining
- intrusion detection
- association rules
- knowledge discovery
- network intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- classification rules
- intrusion detection system
- associative classification
- one class support vector machines
- network anomaly detection
- unsupervised learning
- interestingness measures
- data mining
- negative selection algorithm
- data sets
- detect anomalies
- hidden markov models
- neural network