Machine learning-based intrusion detection: feature selection versus feature extraction.
Vu-Duc NgoTuan-Cuong VuongThien Van LuongHung TranPublished in: Clust. Comput. (2024)
Keyphrases
- intrusion detection
- feature selection
- feature extraction
- machine learning
- intrusion detection system
- anomaly detection
- network intrusion detection
- network traffic
- network security
- data mining
- feature set
- feature space
- detecting anomalous
- high detection rate
- text classification
- pattern recognition
- classification accuracy
- support vector machine
- computer security
- false positives and false negatives
- support vector
- model selection
- data mining techniques
- alert correlation
- multi class
- decision trees
- dimensionality reduction
- cyber security
- distributed intrusion detection
- network intrusion
- information security
- artificial immune
- unsupervised learning
- network intrusion detection systems
- network intrusions
- learning algorithm
- fraud detection
- computer networks
- active learning
- face recognition