Automated real-time anomaly detection of temperature sensors through machine-learning.
Debanjana NayakHarry G. PerrosPublished in: Int. J. Sens. Networks (2020)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- anomaly based intrusion detection
- network traffic
- network intrusion detection
- anomalous behavior
- detecting anomalies
- intrusion detection system
- unsupervised anomaly detection
- one class support vector machines
- pattern recognition
- data assimilation
- computer security
- model selection
- detecting anomalous
- unsupervised learning
- network intrusion
- data mining
- negative selection algorithm
- detect anomalies
- computer vision
- decision trees
- natural language processing
- normal behavior
- learning algorithm
- support vector machine
- active learning
- data analysis