Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework.
Laurens Le JeuneToon GoedeméNele MentensPublished in: IEEE Access (2021)
Keyphrases
- network intrusion detection
- machine learning
- network anomaly detection
- intrusion detection system
- anomaly detection
- active learning
- intrusion detection
- pattern recognition
- decision trees
- computational intelligence
- data mining
- data analysis
- data model
- data sets
- probabilistic model
- knowledge discovery
- video sequences
- learning algorithm
- information retrieval
- artificial immune