Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation.
Michal BaldygaKacper BaranskiJakub BelterMateusz KalinowskiPawel WeichbrothPublished in: Sensors (2024)
Keyphrases
- anomaly detection
- sensor data
- smart environments
- intrusion detection
- sensor networks
- low cost sensors
- detecting anomalies
- heterogeneous sensor networks
- physical objects
- data streams
- network traffic
- network intrusion detection
- anomalous behavior
- intrusion detection system
- detecting anomalous
- sensor measurements
- sensor readings
- raw sensor data
- human activities
- machine learning
- detect anomalies
- health monitoring
- data sets
- network anomaly detection
- sensor data streams
- multiple sensors
- unsupervised learning
- monitoring system
- one class support vector machines
- data fusion
- image processing
- high dimensional
- k means
- semi supervised