Sparse random neural networks for online anomaly detection on sensor nodes.
Sam LerouxPieter SimoensPublished in: Future Gener. Comput. Syst. (2023)
Keyphrases
- anomaly detection
- sensor nodes
- wireless sensor networks
- sensor networks
- neural network
- base station
- intrusion detection
- energy consumption
- connectionist systems
- sensor data
- energy efficient
- anomalous behavior
- sparse pca
- resource constrained
- detecting anomalies
- data transmission
- mobile sensor networks
- network traffic
- energy efficiency
- network intrusion detection
- network anomaly detection
- data collection
- resource limitations
- intrusion detection system
- wireless multimedia sensor networks
- routing protocol
- pattern recognition
- sensed data
- routing algorithm
- one class support vector machines
- unsupervised learning
- key management
- network security
- body sensor networks
- multi hop
- data sets
- power consumption
- maximum likelihood
- reinforcement learning
- genetic algorithm
- data mining