Towards Novel Statistical Methods for Anomaly Detection in Industrial Processes.
Simone ToniniFernando BarsacchiFrancesca ChiaromonteDaniele LicariAndrea VandinPublished in: ICPE (Companion) (2023)
Keyphrases
- statistical methods
- anomaly detection
- industrial processes
- industrial process
- fault detection
- statistical analysis
- quality improvement
- intrusion detection
- anomalous behavior
- network traffic
- network intrusion detection
- machine learning
- detecting anomalies
- network anomaly detection
- risk factors
- statistical models
- machine learning methods
- intrusion detection system
- network security
- one class support vector machines
- detect anomalies
- cumulative sum
- data mining techniques
- artificial intelligence
- unsupervised learning
- text classification
- semi supervised
- data model
- normal behavior
- k means
- high dimensional
- expert systems
- decision trees
- metadata
- negative selection algorithm