An Extended Hybrid Anomaly Detection System for Automotive Electronic Control Units Communicating via Ethernet - Efficient and Effective Analysis using a Specification- and Machine Learning-based Approach.
Daniel GrimmMarc WeberEric SaxPublished in: VEHITS (2018)
Keyphrases
- anomaly detection
- machine learning
- data analysis
- intrusion detection
- cumulative sum
- network anomaly detection
- data acquisition
- behavior analysis
- learning algorithm
- one class support vector machines
- detecting anomalies
- network traffic
- pattern recognition
- computer vision
- network security
- network intrusion detection
- intrusion detection system
- anomalous behavior
- knn