Learning with Semantics: Towards a Semantics-Aware Routing Anomaly Detection System.
Yihao ChenQilei YinQi LiZhuotao LiuKe XuYi XuMingwei XuZiqian LiuJianping WuPublished in: USENIX Security Symposium (2024)
Keyphrases
- anomaly detection
- connectionist systems
- unsupervised learning
- intrusion detection
- detecting anomalies
- learning algorithm
- learning problems
- network anomaly detection
- object recognition
- intrusion detection system
- reinforcement learning
- anomalous behavior
- active learning
- supervised learning
- learning process
- network security
- network intrusion detection
- detect anomalies
- decision trees