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: FUZZ-IEEE (2020)
Keyphrases
- anomaly detection
- data center
- real time
- intrusion detection
- cloud computing
- detecting anomalies
- anomalous behavior
- network intrusion detection
- energy efficiency
- intrusion detection system
- unsupervised anomaly detection
- network traffic
- energy consumption
- network anomaly detection
- data assimilation
- power consumption
- cost effective
- low cost
- one class support vector machines
- detect anomalies
- detecting anomalous
- network security
- carbon dioxide
- network intrusion
- multi tenant
- traffic engineering
- unsupervised learning
- wireless sensor networks
- hidden markov models
- databases