Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach.
Leticia DeckerDaniel F. LeiteLuca GiommiDaniele BonacorsiPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- data center
- real time
- intrusion detection
- cloud computing
- anomalous behavior
- network intrusion detection
- detecting anomalies
- energy efficiency
- network traffic
- energy consumption
- one class support vector machines
- data assimilation
- unsupervised anomaly detection
- intrusion detection system
- detect anomalies
- network security
- unsupervised learning
- low cost
- power consumption
- cost effective
- network anomaly detection
- carbon dioxide
- connectionist systems
- normal behavior
- network intrusion
- hidden markov models
- multi tenant
- databases