Anomaly Detection Models for Detecting Sensor Faults and Outliers in the IoT - A Survey.
Anuroop GaddamTim WilkinMaia AngelovaPublished in: ICST (2019)
Keyphrases
- anomaly detection
- detecting anomalies
- novelty detection
- detecting anomalous
- intrusion detection
- network intrusion detection
- one class support vector machines
- intrusion detection system
- high dimensional data streams
- network anomaly detection
- anomalous behavior
- probabilistic model
- detect anomalies
- data assimilation
- data sets
- negative selection algorithm
- simulation models
- computer security
- network security
- computer vision
- machine learning
- unsupervised learning
- unsupervised anomaly detection
- sensor data
- model selection
- abnormal events
- training set
- network intrusion
- data analysis
- decision trees
- network traffic