A Method for Anomalies Detection in Real-Time Ethernet Data Traffic Applied to PROFINET.
Guilherme Serpa SestitoAfonso Celso TurcatoAndre Luis DiasMurilo Silveira RochaMaíra Martins da SilvaPaolo FerrariDennis BrandãoPublished in: IEEE Trans. Ind. Informatics (2018)
Keyphrases
- detection method
- synthetic data
- real time
- prior knowledge
- data sets
- missing data
- input data
- data processing
- noisy data
- training data
- data analysis
- preprocessing
- pairwise
- test data
- statistical methods
- missing values
- anomaly detection
- data collection
- information loss
- high speed
- training samples
- detection algorithm
- data quality
- objective function
- image data
- false positives
- knowledge discovery
- data acquisition
- data sources
- similarity measure
- detect anomalies
- privacy preserving
- data structure
- database
- probabilistic model