Machine-Learning-Based Feature Selection Techniques for Large-Scale Network Intrusion Detection.
O. Y. Al-JarrahAmna SiddiquiM. ElsalamounyPaul D. YooSami MuhaidatKwangjo KimPublished in: ICDCS Workshops (2014)
Keyphrases
- network intrusion detection
- machine learning
- network anomaly detection
- anomaly detection
- intrusion detection
- network intrusion
- fraud detection
- artificial immune
- intrusion detection system
- network traffic data
- network traffic
- decision trees
- learning algorithm
- data mining
- active learning
- data analysis
- real world
- network attacks
- knowledge discovery
- information extraction
- database
- computational intelligence
- feature selection
- computer vision
- natural language processing
- data management
- dimensionality reduction
- text mining
- high dimensional
- information systems
- databases