A Unified Bayesian Framework for Joint Estimation and Anomaly Detection in Environmental Sensor Networks.
Alessio FascistaAngelo ColucciaChiara RavazziPublished in: IEEE Access (2023)
Keyphrases
- bayesian framework
- sensor networks
- anomaly detection
- joint estimation
- prior knowledge
- wireless sensor networks
- intrusion detection
- sensor nodes
- generative model
- sensor data
- network intrusion detection
- detecting anomalies
- environmental monitoring
- energy consumption
- maximum a posteriori
- network traffic
- anomalous behavior
- communication cost
- expectation maximization
- data streams
- resource constrained
- communication bandwidth
- negative selection algorithm
- network security
- intrusion detection system
- underwater acoustic
- network anomaly detection
- computer networks
- routing protocol
- supervised learning
- detect anomalies
- object recognition
- computer vision
- learning algorithm