Temporal Data-Driven Sleep Scheduling and Spatial Data-Driven Anomaly Detection for Clustered Wireless Sensor Networks.
Gang LiBin HeHongwei HuangLimin TangPublished in: Sensors (2016)
Keyphrases
- data driven
- anomaly detection
- wireless sensor networks
- intrusion detection
- detecting anomalies
- anomalous behavior
- computer security
- intrusion detection system
- network traffic
- behavior analysis
- network intrusion detection
- detecting anomalous
- scheduling problem
- one class support vector machines
- network anomaly detection
- unsupervised anomaly detection
- network security
- learning algorithm
- unsupervised learning
- neural network
- active learning
- misuse detection