Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models.
Fadhel AyedLorenzo StellaTim JanuschowskiJan GasthausPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- intrusion detection
- detect anomalies
- anomalous behavior
- detecting anomalies
- network intrusion detection
- one class support vector machines
- data assimilation
- computer security
- behavior analysis
- network anomaly detection
- intrusion detection system
- network traffic
- genetic algorithm
- unsupervised learning
- probabilistic model
- detecting anomalous
- network security
- cumulative sum
- pairwise
- data analysis
- support vector
- training data