Anomaly detection in self-organizing industrial systems using pathlets.
Marie KiermeierMartin WernerClaudia Linnhoff-PopienHorst SauerJan WieghardtPublished in: ICIT (2017)
Keyphrases
- anomaly detection
- industrial systems
- industrial applications
- fault diagnosis
- computational intelligence
- complex systems
- intelligent systems
- neural network
- intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- network intrusion detection
- unsupervised learning
- network anomaly detection
- intrusion detection system
- detecting anomalous
- unsupervised anomaly detection
- network security
- expert systems
- computer security
- cumulative sum
- malware detection
- detect anomalies
- network intrusion
- knowledge base
- negative selection algorithm
- artificial intelligence
- computer systems
- semi supervised
- fuzzy logic
- one class support vector machines
- decision making