Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation.
Seffi CohenNiv GoldshlagerLior RokachBracha ShapiraPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- unsupervised learning
- novelty detection
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- computer security
- detect anomalies
- network traffic
- intrusion detection system
- detecting anomalous
- negative selection algorithm
- network anomaly detection
- network intrusion
- one class support vector machines
- behavior analysis
- malware detection
- network security
- semi supervised
- learning algorithm
- ensemble learning
- cumulative sum
- real world
- machine learning
- neural network
- feature selection