A Comparative Study of Machine Learning Classifiers for Network Intrusion Detection.
Farrukh Aslam KhanAbdu GumaeiPublished in: ICAIS (2) (2019)
Keyphrases
- network intrusion detection
- machine learning
- machine learning algorithms
- network anomaly detection
- machine learning methods
- machine learning approaches
- decision trees
- anomaly detection
- intrusion detection
- network intrusion
- feature selection
- intrusion detection system
- supervised classification
- fraud detection
- artificial immune
- network traffic
- training data
- support vector
- data mining
- learning algorithm
- pattern recognition
- feature set
- computer vision
- network intrusions
- computational intelligence
- information extraction
- active learning
- data mining techniques
- training set
- network traffic data
- semi supervised learning
- model selection
- computer networks
- supervised learning
- support vector machine
- knowledge discovery
- high dimensional
- information systems