Exploring Ensemble-Based Class Imbalance Learners for Intrusion Detection in Industrial Control Networks.
Maya Hilda Lestari LoukBayu Adhi TamaPublished in: Big Data Cogn. Comput. (2021)
Keyphrases
- intrusion detection
- class imbalance
- intrusion detection system
- imbalanced data
- class distribution
- anomaly detection
- network security
- network intrusion detection
- network traffic
- computer networks
- cost sensitive
- active learning
- detecting anomalous
- cyber security
- base classifiers
- learning environment
- sampling methods
- data mining
- data mining techniques
- ensemble methods
- concept drift
- e learning
- high dimensionality
- training data
- feature selection
- fraud detection
- base learners
- neural network
- data sets
- ensemble learning
- decision trees
- learning algorithm