A lightweight anomaly detection framework for medical wireless sensor networks.
Osman SalemYaning LiuAhmed MehaouaPublished in: WCNC (2013)
Keyphrases
- lightweight
- anomaly detection
- wireless sensor networks
- intrusion detection
- detecting anomalies
- network intrusion detection
- sensor networks
- network anomaly detection
- energy consumption
- one class support vector machines
- anomalous behavior
- network traffic
- behavior analysis
- development environments
- communication infrastructure
- data assimilation
- intrusion detection system
- decision trees
- unsupervised learning
- probabilistic model
- active learning
- pattern recognition