GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring.
Ning DongEinoshin SuzukiPublished in: PRICAI (2) (2021)
Keyphrases
- anomaly detection
- intrusion detection
- unsupervised learning
- anomalous behavior
- connectionist systems
- learning algorithm
- active learning
- supervised learning
- detecting anomalies
- reinforcement learning
- computer security
- network traffic
- learning process
- network anomaly detection
- detecting anomalous
- data sets
- unsupervised anomaly detection
- network security
- self organizing maps
- support vector
- training data
- machine learning
- data mining