Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification.
Miguel LeonTijana MarkovicSasikumar PunnekkatPublished in: IJCNN (2022)
Keyphrases
- machine learning algorithms
- comparative evaluation
- network intrusion detection
- benchmark data sets
- network intrusion
- machine learning
- machine learning methods
- predictive accuracy
- decision trees
- learning algorithm
- learning problems
- machine learning approaches
- machine learning models
- network anomaly detection
- intrusion detection
- anomaly detection
- network intrusions
- random forests
- network attacks
- input features
- supervised machine learning algorithms
- multiclass classification
- fraud detection
- information systems
- learning models
- intrusion detection system
- data sets
- feature extraction
- feature vectors