Clustering and Anomaly Detection in Embedding Spaces for the Validation of Automotive Sensors.
Alexander FertigLakshman BalasubramanianMichael BotschPublished in: IV (2024)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- network intrusion detection
- clustering analysis
- detecting anomalies
- unsupervised learning
- network traffic
- network anomaly detection
- intrusion detection system
- unsupervised anomaly detection
- detect anomalies
- network security
- behavior analysis
- detecting anomalous
- computer security
- negative selection algorithm
- sensor data
- data points
- k means
- data analysis
- clustering algorithm
- connectionist systems
- clustering method
- malware detection
- neural network