Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches.
Jumabek AlikhanovRhongho JangMohammed AbuhamadDavid MohaisenDaehun NyangYoungtae NohPublished in: IEEE Access (2022)
Keyphrases
- network intrusion detection
- machine learning
- network traffic
- network traffic data
- intrusion detection
- machine learning algorithms
- machine learning methods
- network intrusion
- network anomaly detection
- data mining
- anomaly detection
- intrusion detection system
- decision trees
- traffic flow
- artificial immune
- feature selection
- knowledge discovery
- text classification
- real world
- information systems
- learning algorithm