Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data.
Ana MinicLuka JovanovicNebojsa BacaninCatalin StoeanMiodrag ZivkovicPetar SpalevicAleksandar PetrovicMilos DobrojevicRuxandra StoeanPublished in: Sensors (2023)
Keyphrases
- sensor data
- anomaly detection
- recurrent neural networks
- sensor networks
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- feed forward
- echo state networks
- sensor measurements
- neural network
- recurrent networks
- network traffic
- human activities
- health monitoring
- data streams
- intrusion detection system
- network anomaly detection
- negative selection algorithm
- raw sensor data
- sensor readings
- one class support vector machines
- smart environments
- unsupervised learning
- machine learning
- normal behavior
- reinforcement learning
- cumulative sum