Building Auto-Encoder Intrusion Detection System based on random forest feature selection.
XuKui LiWei ChenQianru ZhangLifa WuPublished in: Comput. Secur. (2020)
Keyphrases
- random forest
- intrusion detection system
- feature set
- feature selection
- intrusion detection
- selected features
- fold cross validation
- network security
- random forests
- decision trees
- feature reduction
- anomaly detection
- network traffic
- distributed intrusion detection
- network intrusion detection
- feature importance
- ensemble learning
- feature ranking
- ensemble classifier
- ensemble methods
- text categorization
- multi label
- computer systems
- text classification
- decision tree learning algorithms
- classification accuracy
- machine learning
- classification models
- real world
- misuse detection
- feature space
- multi class
- dimensionality reduction
- base classifiers
- unsupervised learning
- data mining techniques
- association rules
- support vector
- benchmark datasets
- class labels
- machine learning methods
- data mining