MaREA: Multi-class Random Forest for Automotive Intrusion Detection.
Danilo CaivanoChristian CatalanoMirko De VincentiisAlfred LakoAlessandro PaganoPublished in: PROFES (2) (2023)
Keyphrases
- random forest
- multi class
- intrusion detection
- base classifiers
- intrusion detection system
- anomaly detection
- random forests
- decision trees
- feature set
- support vector machine
- pairwise
- object detection
- binary classification
- data mining
- ensemble methods
- feature selection
- fold cross validation
- ensemble learning
- multi label
- cost sensitive
- multiple classes
- fraud detection
- prediction accuracy
- text categorization
- text classification
- information retrieval