Machine Learning-based Anomaly Detection for Particle Accelerators.
Davide MarcatoGiovanni ArenaDamiano BortolatoFabio GelainValentina MartinelliEnrico MunaronMarco RoettaGiovanni SavareseGian Antonio SustoPublished in: CCTA (2021)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- computer security
- unsupervised learning
- unsupervised anomaly detection
- detecting anomalous
- negative selection algorithm
- pattern recognition
- intrusion detection system
- learning algorithm
- decision trees
- supervised learning
- natural language processing
- one class support vector machines
- data analysis
- behavior analysis
- information extraction
- computational intelligence
- network security
- cumulative sum
- detect anomalies
- computer vision
- text classification
- feature selection
- network intrusion
- knowledge discovery
- neural network
- text mining