Self-Supervised Learning for Anomaly Detection With Dynamic Local Augmentation.
Seungdong YoaSeungjun LeeChiyoon KimHyunwoo J. KimPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- intrusion detection
- learning algorithm
- connectionist systems
- learning process
- genetic algorithm
- supervised learning
- learning problems
- behavior analysis
- active learning
- hidden markov models
- unsupervised learning
- association rules
- intrusion detection system
- network intrusion detection
- knowledge discovery
- data analysis
- network traffic
- anomalous behavior