A data-centric approach to anomaly detection in layer-based additive manufacturing.
Alexander ZeiserBekir ÖzcanChristoph KrackeBas van SteinThomas BäckPublished in: Autom. (2023)
Keyphrases
- anomaly detection
- data centric
- intrusion detection
- business processes
- application development
- network traffic
- anomalous behavior
- data management
- information management
- data driven
- detecting anomalies
- network intrusion detection
- intrusion detection system
- distributed systems
- routing protocol
- data representation
- detect anomalies
- data storage
- network anomaly detection
- wireless sensor networks
- one class support vector machines
- database systems
- normal behavior
- database
- negative selection algorithm
- xml schema
- sensor networks
- feature space
- data mining
- databases