Inter-dataset generalization strength of supervised machine learning methods for intrusion detection.
Laurens D'hoogeTim WautersBruno VolckaertFilip De TurckPublished in: J. Inf. Secur. Appl. (2020)
Keyphrases
- intrusion detection
- intrusion detection system
- anomaly detection
- network intrusion detection
- network security
- network traffic
- network traffic data
- network intrusion
- outlier mining
- artificial immune
- high detection rate
- computer security
- data mining
- learning algorithm
- detecting anomalous
- semi supervised
- unsupervised learning
- supervised learning
- information security
- network intrusion detection systems
- alert correlation
- machine learning
- false positives and false negatives
- nsl kdd
- network attacks
- network intrusions
- database
- credit card fraud detection
- security vulnerabilities
- cyber security
- computer networks
- feature selection
- computer systems
- information systems
- distributed intrusion detection
- databases