Towards an Improved Bi-GAN-Based End-to-End One-Class Classifier for Anomaly Detection in Cloud Data-Centers.
Jiale ZhaoPeng ChenJuan ChenXianhua NiuYunni XiaPublished in: ICWS (2022)
Keyphrases
- end to end
- data center
- anomaly detection
- cloud computing
- virtual machine
- cost effective
- intrusion detection
- business intelligence
- energy efficiency
- anomalous behavior
- high density
- network traffic
- detecting anomalies
- energy consumption
- power consumption
- network intrusion detection
- ad hoc networks
- multi tenant
- one class support vector machines
- network anomaly detection
- cloud services
- detect anomalies
- intrusion detection system
- network security
- admission control
- smart grid
- unsupervised learning
- congestion control
- data management
- negative selection algorithm
- data sets
- traffic engineering
- computing resources
- real time
- end users