A Hybrid Intrusion Detection System Based on Scalable K-Means+ Random Forest and Deep Learning.
Chao LiuZhaojun GuJialiang WangPublished in: IEEE Access (2021)
Keyphrases
- random forest
- deep learning
- intrusion detection system
- intrusion detection
- k means
- anomaly detection
- decision trees
- unsupervised learning
- distributed intrusion detection
- machine learning
- feature set
- mental models
- computer systems
- multi label
- ensemble methods
- weakly supervised
- expectation maximization
- base classifiers
- clustering algorithm
- information systems
- data sets
- maximum likelihood
- benchmark datasets
- image classification
- object recognition
- pattern recognition
- training data
- similarity measure
- data mining