Evaluation of feature selection for anomaly detection in automotive E/E architectures.
Christoph SeglerStefan KugelePhilipp ObergfellMohd Hafeez OsmanSina ShafaeiEric SaxAlois C. KnollPublished in: ICSE (Companion Volume) (2019)
Keyphrases
- anomaly detection
- feature selection
- intrusion detection
- detecting anomalies
- anomalous behavior
- unsupervised learning
- network traffic
- computer security
- network intrusion detection
- intrusion detection system
- detecting anomalous
- one class support vector machines
- detect anomalies
- network security
- sparse pca
- neural network
- network anomaly detection
- negative selection algorithm
- unsupervised anomaly detection
- malware detection
- behavior analysis
- novelty detection
- text classification
- network intrusion
- model selection
- machine learning
- multi class
- reinforcement learning
- genetic algorithm
- data assimilation
- data sets