Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network.
Yongqi DongKejia ChenYinxuan PengZhiyuan MaPublished in: ITSC (2022)
Keyphrases
- anomaly detection
- comparative study
- supervised machine learning
- network traffic
- network anomaly detection
- intrusion detection
- network intrusion
- supervised learning
- detect anomalies
- unsupervised learning
- network intrusion detection
- anomalous behavior
- detecting anomalies
- computer networks
- intrusion prevention
- normal behavior
- intrusion detection system
- data sets
- semi supervised
- detecting anomalous
- active learning
- machine learning
- manually annotated
- training data
- feature selection