Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems.
Francisco Arellano-EspitiaMiguel Delgado PrietoArtvin Darien Gonzalez-AbreuJuan Jose Saucedo DorantesRoque Alfredo Osornio-RiosPublished in: Sensors (2021)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- network intrusion detection
- computer security
- behavior analysis
- industrial systems
- network security
- unsupervised anomaly detection
- network anomaly detection
- industrial applications
- intrusion detection system
- malware detection
- computational intelligence
- one class support vector machines
- image segmentation
- detecting anomalous
- detect anomalies
- unsupervised learning
- negative selection algorithm
- cumulative sum
- artificial intelligence