Anomaly detection for fault detection in wireless community networks using machine learning.
Llorenç Cerdà-AlabernGabriel IuhaszGabriele GemmiPublished in: Comput. Commun. (2023)
Keyphrases
- anomaly detection
- fault detection
- machine learning
- network anomaly detection
- intrusion detection
- fault diagnosis
- industrial processes
- fault identification
- detecting anomalies
- anomalous behavior
- unsupervised learning
- tennessee eastman
- network traffic
- network intrusion detection
- fuel cell
- robust fault detection
- detecting anomalous
- intrusion detection system
- active learning
- data mining
- pattern recognition
- neural network
- social networks
- negative selection algorithm
- one class support vector machines
- feature selection
- detect anomalies
- network security
- decision trees
- computer networks
- knowledge discovery
- supervised learning
- learning algorithm
- text classification
- data analysis
- decision support system
- training data
- power plant
- computer vision
- information extraction
- text mining