Ensemble of Random and Isolation Forests for Graph-Based Intrusion Detection in Containers.
Alfonso IacovazziShahid RazaPublished in: CSR (2022)
Keyphrases
- intrusion detection
- intrusion detection system
- random forests
- anomaly detection
- network traffic
- network security
- network intrusion detection
- information security
- detecting anomalous
- artificial immune
- unsupervised anomaly detection
- false positives and false negatives
- network intrusion
- high detection rate
- ensemble methods
- cyber security
- data mining
- computer networks
- alert correlation
- network attacks
- computer security
- data mining techniques
- object recognition
- training data
- ensemble learning
- decision trees
- feature selection
- false positives
- learning algorithm