Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network.
Yongqi DongKejia ChenYinxuan PengZhiyuan MaPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- comparative study
- supervised machine learning
- network traffic
- network anomaly detection
- supervised learning
- intrusion detection
- detect anomalies
- network intrusion
- unsupervised learning
- network intrusion detection
- detecting anomalies
- anomalous behavior
- detecting anomalous
- network security
- intrusion detection system
- normal behavior
- intrusion prevention
- manually annotated
- computer networks
- learning algorithm
- one class support vector machines
- machine learning
- semi supervised
- negative selection algorithm
- cumulative sum
- computer systems
- real world
- data sets
- high quality
- feature selection