One IDS Is Not Enough! Exploring Ensemble Learning for Industrial Intrusion Detection.
Konrad WolsingDominik KusEric WagnerJan PennekampKlaus WehrleMartin HenzePublished in: ESORICS (2) (2023)
Keyphrases
- ensemble learning
- intrusion detection
- intrusion detection system
- anomaly detection
- generalization ability
- ensemble methods
- network security
- network intrusion detection
- network traffic
- alert correlation
- network intrusions
- data mining
- network intrusion detection systems
- base classifiers
- random forest
- network intrusion
- multiple models
- distributed intrusion detection
- concept drift
- data mining techniques
- network attacks
- computer vision
- unlabeled data
- knowledge discovery
- training set
- data streams
- intrusion prevention