Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs.
Sasho NedelkoskiJasmin BogatinovskiAlexander AckerJorge CardosoOdej KaoPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- intrusion detection
- unsupervised learning
- novelty detection
- detecting anomalies
- anomalous behavior
- network traffic
- one class support vector machines
- computer security
- pattern recognition
- intrusion detection system
- network intrusion detection
- detect anomalies
- decision trees
- network anomaly detection
- machine learning
- unsupervised anomaly detection
- connectionist systems
- supervised learning
- behavior analysis
- negative selection algorithm
- network security
- support vector machine
- feature space
- genetic algorithm
- text classification
- feature vectors
- support vector
- feature extraction
- feature selection
- computer vision
- data mining
- neural network