Multiclass Intrusion Detection in IoT Using Boosting and Feature Selection.
Abderrahmane HamdouchiAli IdriPublished in: WorldCIST (3) (2024)
Keyphrases
- multi class
- intrusion detection
- feature selection
- boosting algorithms
- intrusion detection system
- support vector machine
- anomaly detection
- cost sensitive
- base classifiers
- multiclass classification
- network security
- network intrusion detection
- multi class boosting
- network traffic
- object detection
- binary classification
- multiple classes
- text categorization
- binary classification problems
- detecting anomalous
- classification accuracy
- multiclass problems
- text classification
- data mining techniques
- feature set
- knn
- feature space
- multi class classification
- multiclass support vector machines
- neural network
- ensemble learning
- ensemble methods
- feature subset
- model selection
- support vector
- data mining
- fraud detection
- multi task
- probabilistic model
- perceptron algorithm
- feature extraction
- machine learning
- multiclass learning