Data-Driven Usage Profiling and Anomaly Detection in Support of Sustainable Machining Processes.
Fabian FingerhutChaitra HarshaAmirmohammad EghbalianTom JacobsMahdi TabassianRobbert VerbekeElena TsiporkovaPublished in: ICDM (Workshops) (2022)
Keyphrases
- anomaly detection
- data driven
- intrusion detection
- network intrusion detection
- detecting anomalies
- machining processes
- network traffic
- anomalous behavior
- network anomaly detection
- detecting anomalous
- cumulative sum
- one class support vector machines
- unsupervised learning
- detect anomalies
- network security
- data mining techniques
- hidden markov models
- feature extraction