Leveraging Byte-Level Features for LSTM-based Anomaly Detection in Controller Area Networks.
Lixue LiangXiaojie LinBaihe MaXu WangYing HeRen Ping LiuWei NiPublished in: GLOBECOM (2022)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- detecting anomalies
- computer security
- detecting anomalous
- network intrusion detection
- network traffic
- network security
- unsupervised anomaly detection
- one class support vector machines
- behavior analysis
- unsupervised learning
- network anomaly detection
- intrusion detection system
- detect anomalies
- feature extraction
- negative selection algorithm
- neural network
- control system
- feature vectors
- feature space
- image segmentation
- machine learning