Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers.
Leticia DeckerDaniel F. LeiteFabio ViolaDaniele BonacorsiPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- one class support vector machines
- intrusion detection
- anomalous behavior
- network traffic
- detecting anomalies
- connectionist systems
- network intrusion detection
- network anomaly detection
- intrusion detection system
- computer security
- cumulative sum
- detecting anomalous
- detect anomalies
- network security
- decision trees
- malware detection
- network intrusion
- naive bayes
- support vector
- learning algorithm
- genetic algorithm
- data mining