Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach.
Mao V. NgoTie LuoTony Q. S. QuekPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- contextual bandit
- intrusion detection
- detecting anomalies
- unsupervised anomaly detection
- upper confidence bound
- network intrusion detection
- network traffic
- intrusion detection system
- network anomaly detection
- unsupervised learning
- anomalous behavior
- detecting anomalous
- network security
- computer vision
- cumulative sum
- one class support vector machines
- detect anomalies
- behavior analysis
- negative selection algorithm
- network intrusion
- malware detection
- semi supervised
- training data
- learning algorithm