Fast Anomaly Detection Model based on Long Sequences for Energy Storage Systems.
Hong-Soon NamChul-ho ShinYoun-Kwae JeongJong Won ParkPublished in: ICTC (2021)
Keyphrases
- anomaly detection
- long sequences
- storage systems
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- file system
- energy consumption
- data streams
- network traffic
- high performance computing
- intrusion detection system
- unsupervised learning
- energy efficiency
- detect anomalies
- network anomaly detection
- real world
- one class support vector machines
- flash memory
- probabilistic model
- object recognition
- negative selection algorithm
- data processing
- multi dimensional