Anomaly detection system for data quality assurance in IoT infrastructures based on machine learning.
Lucia Arnau MuñozJosé Vicente Berná-MartínezFrancisco Maciá PérezIren Lorenzo-FonsecaPublished in: Internet Things (2024)
Keyphrases
- anomaly detection
- quality assurance
- machine learning
- data sources
- intrusion detection
- training data
- anomalous behavior
- data sets
- knowledge discovery
- high quality
- learning algorithm
- text mining
- maximum likelihood
- data processing
- network traffic
- feature selection
- hidden markov models
- high dimensional
- image data
- decision trees
- quality control
- normal behavior