Multivariate anomaly detection for ensuring data quality of dendrometer sensor networks.
Efrat VilenskiPeter BakJonathan D. RosenblattPublished in: Comput. Electron. Agric. (2019)
Keyphrases
- sensor networks
- data quality
- anomaly detection
- intrusion detection
- wireless sensor networks
- sensor data
- energy consumption
- network traffic
- detecting anomalies
- network intrusion detection
- energy efficient
- resource constrained
- communication cost
- data warehouse
- anomalous behavior
- detect anomalies
- negative selection algorithm
- energy efficiency
- data streams
- intrusion detection system
- sensor nodes
- one class support vector machines
- network security
- pairwise
- routing protocol
- unsupervised learning
- semi supervised
- databases