Anomaly Detection for Automotive Diagnostic Applications Based on N-Grams.
Marcel RumezJinghua LinThomas FuchßReiner KriestenEric SaxPublished in: COMPSAC (2020)
Keyphrases
- n gram
- anomaly detection
- language model
- intrusion detection
- detecting anomalies
- anomalous behavior
- text classification
- one class support vector machines
- network intrusion detection
- intrusion detection system
- network traffic
- detecting anomalous
- variable length
- network anomaly detection
- web documents
- unsupervised learning
- detect anomalies
- learning algorithm
- part of speech
- character n grams
- text mining
- probabilistic model
- negative selection algorithm
- feature space