A stacking ensemble of deep learning models for IoT intrusion detection.
Riccardo LazzariniHuaglory TianfieldVassilis CharissisPublished in: Knowl. Based Syst. (2023)
Keyphrases
- learning models
- intrusion detection
- ensemble learning
- base classifiers
- learning algorithm
- intrusion detection system
- anomaly detection
- loss function
- ensemble methods
- learning tasks
- network intrusion detection
- machine learning
- network security
- semi supervised learning
- machine learning algorithms
- detecting anomalous
- conditional random fields
- learning problems
- data mining
- classification models
- network traffic
- data mining techniques
- decision trees
- network intrusions
- naive bayes
- training set
- neural network
- cost sensitive
- class labels
- cloud computing
- probabilistic model
- support vector
- feature selection
- real world