A Comparative Study of Using Boosting-Based Machine Learning Algorithms for IoT Network Intrusion Detection.
Mohamed Saied EssaShawkat K. GuirguisMagda M. MadboulyPublished in: Int. J. Comput. Intell. Syst. (2023)
Keyphrases
- machine learning algorithms
- network intrusion detection
- learning algorithm
- machine learning
- intrusion detection
- anomaly detection
- benchmark data sets
- network intrusion
- decision trees
- predictive accuracy
- multiclass classification
- fraud detection
- artificial immune
- machine learning methods
- learning problems
- intrusion detection system
- network anomaly detection
- network traffic
- ensemble methods
- random forests
- machine learning models
- feature selection
- machine learning approaches
- active learning
- network attacks
- standard machine learning algorithms
- learning tasks
- learning models
- data sets
- training data
- base classifiers
- data processing
- learning process
- feature extraction
- real world