Intrusion Detection Based on Approximate Information Entropy for Random Forest Classification.
Le YangManchun CaiYongcheng DuanXue YangPublished in: ICBDC (2019)
Keyphrases
- intrusion detection
- random forest
- information entropy
- decision trees
- feature set
- intrusion detection system
- anomaly detection
- fold cross validation
- network security
- classification accuracy
- ensemble classifier
- pattern recognition
- decision tree learning algorithms
- decision table
- rough sets
- data mining
- image classification
- base classifiers
- feature selection
- ensemble methods
- attribute values
- classification algorithm
- rough set theory
- feature ranking
- class labels
- supervised learning
- text classification
- machine learning
- databases
- data sets
- computer vision
- training set
- classification rules
- svm classifier
- support vector machine