unsupervised fuzzy ensembles and their use in intrusion detection.
Paul F. EvangelistaPiero P. BonissoneMark J. EmbrechtsBoleslaw K. SzymanskiPublished in: ESANN (2005)
Keyphrases
- intrusion detection
- intrusion detection system
- anomaly detection
- word sense induction
- unsupervised anomaly detection
- network intrusion detection
- network traffic
- network security
- computer security
- high detection rate
- artificial immune
- unsupervised learning
- information security
- data mining techniques
- detecting anomalous
- decision trees
- cyber security
- data mining
- machine learning
- network intrusion
- ensemble methods
- semi supervised
- network intrusion detection systems
- network intrusions
- network attacks
- fuzzy rules
- normal behavior
- data sets
- alert correlation
- object recognition
- false positives and false negatives
- intrusion detection and prevention