An empirical evaluation for the intrusion detection features based on machine learning and feature selection methods.
Mouhammd AlkasassbehPublished in: CoRR (2017)
Keyphrases
- intrusion detection
- machine learning
- intrusion detection system
- anomaly detection
- network intrusion detection
- network security
- data mining
- high detection rate
- network traffic
- false positives and false negatives
- detecting anomalous
- artificial immune
- cyber security
- computer security
- information security
- fraud detection
- decision trees
- feature extraction
- knowledge discovery
- feature selection
- data sets
- face recognition
- data mining techniques
- pairwise
- network intrusions
- network intrusion detection systems
- information systems
- semi supervised