Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning.
Yongqi DongXingmin LuRuohan LiWei SongBart van AremHaneen FarahPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- fine tuning
- fine tuned
- intrusion detection
- detecting anomalies
- anomalous behavior
- unsupervised anomaly detection
- network intrusion detection
- network traffic
- intrusion detection system
- detecting anomalous
- network security
- network anomaly detection
- one class support vector machines
- behavior analysis
- fuzzy logic
- detect anomalies
- computer security
- detection algorithm
- negative selection algorithm
- object recognition
- unsupervised learning
- domain specific
- malware detection
- training set
- dimensionality reduction
- training data
- self organizing maps