Nonlinear Polynomial Graph Filter for Anomalous IoT Sensor Detection and Localization.
Zhenlong XiaoHe FangXianbin WangPublished in: IEEE Internet Things J. (2020)
Keyphrases
- anomaly detection
- inertial navigation
- detection algorithm
- accurate localization
- activity detection
- connected components
- detection method
- automatic detection
- graph theory
- false alarms
- management system
- sensor networks
- source localization
- graph model
- intrusion detection
- noise reduction
- graph structure
- weighted graph
- directed graph
- nonlinear filters
- matched filter
- high sensitivity
- noise removal
- detecting anomalous
- localization method
- structured data
- image processing
- multi sensor
- false positives