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