Intrusion Detection with Unsupervised Heterogeneous Ensembles Using Cluster-Based Normalization.
Scott RuotiScott HeidbrinkMark O'NeillEric GustafsonYung Ryn ChoePublished in: ICWS (2017)
Keyphrases
- intrusion detection
- word sense induction
- intrusion detection system
- anomaly detection
- unsupervised anomaly detection
- network traffic
- network security
- network intrusion detection
- artificial immune
- network intrusion
- unsupervised learning
- high detection rate
- computer security
- data mining
- detecting anomalous
- information security
- ensemble methods
- decision trees
- data mining techniques
- semi supervised
- cyber security
- network attacks
- false positives and false negatives
- fraud detection
- dimensionality reduction
- supervised learning
- network intrusion detection systems
- intrusion prevention
- ensemble learning
- computer networks
- alert correlation
- misuse detection
- probabilistic model
- high dimensional