Using Machine Learning to Detect Anomalies in Embedded Networks in Heavy Vehicles.
Hossein ShiraziIndrakshi RayCharles AndersonPublished in: FPS (2019)
Keyphrases
- machine learning
- detect anomalies
- anomaly detection
- real time
- pattern recognition
- social networks
- embedded systems
- knowledge acquisition
- data mining
- supervised learning
- support vector machine
- knowledge discovery
- data analysis
- inductive logic programming
- network traffic
- model selection
- network structure
- machine learning methods
- machine learning algorithms
- unsupervised learning
- learning algorithm
- computer vision
- complex networks
- feature selection
- feature space
- decision trees
- natural language processing
- computer science
- information extraction
- active learning