System modeling based on machine learning for anomaly detection and predictive maintenance in industrial plants.
Bjorn KrollDavid SchaffranekSebastian SchriegelOliver NiggemannPublished in: ETFA (2014)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- anomalous behavior
- data assimilation
- detecting anomalies
- unsupervised anomaly detection
- intrusion detection system
- unsupervised learning
- network traffic
- network intrusion detection
- computer security
- detecting anomalous
- computer vision
- feature selection
- data mining
- detect anomalies
- pattern recognition
- malware detection
- network security
- behavior analysis
- data analysis
- network intrusion
- decision trees
- knowledge discovery
- negative selection algorithm
- model selection
- data processing
- cumulative sum
- support vector machine