Deep Active Learning for Anomaly Detection.
Tiago PimentelMarianne MonteiroAdriano VelosoNivio ZivianiPublished in: IJCNN (2020)
Keyphrases
- anomaly detection
- active learning
- intrusion detection
- unsupervised anomaly detection
- semi supervised
- anomalous behavior
- detecting anomalies
- network intrusion detection
- intrusion detection system
- network traffic
- computer security
- learning algorithm
- machine learning
- malware detection
- transfer learning
- unsupervised learning
- one class support vector machines
- cumulative sum
- data sets
- detect anomalies
- negative selection algorithm
- detecting anomalous
- labeled data
- high dimensional
- pattern recognition
- feature extraction
- computer vision