Network intrusion detection using oversampling technique and machine learning algorithms.
Hafiza Anisa AhmedAnum HameedNarmeen Zakaria BawanyPublished in: PeerJ Comput. Sci. (2022)
Keyphrases
- network intrusion detection
- machine learning algorithms
- benchmark data sets
- intrusion detection
- anomaly detection
- machine learning
- network intrusion
- predictive accuracy
- learning algorithm
- machine learning methods
- learning problems
- decision trees
- artificial immune
- network anomaly detection
- fraud detection
- network traffic
- machine learning models
- random forests
- intrusion detection system
- machine learning approaches
- learning tasks
- machine learning systems
- learning models
- input features
- statistical machine learning
- network attacks
- standard machine learning algorithms
- network intrusions
- network security
- class imbalance
- knn
- training data
- data mining