Oversampling Log Messages Using a Sequence Generative Adversarial Network for Anomaly Detection and Classification.
Amir FarzadT. Aaron GulliverPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- network traffic
- network anomaly detection
- intrusion detection
- unsupervised learning
- network intrusion
- detect anomalies
- network intrusion detection
- anomalous behavior
- detecting anomalies
- pattern recognition
- network security
- normal behavior
- support vector machine
- intrusion detection system
- behavior analysis
- decision trees
- generative model
- one class support vector machines
- computer networks
- cumulative sum
- computer security
- unsupervised anomaly detection
- class imbalance
- feature vectors
- cost sensitive
- feature extraction
- detecting anomalous
- negative selection algorithm
- support vector
- feature space
- malware detection
- pattern classification
- text classification
- self organizing maps
- training set
- abnormal events
- outlier detection
- normal traffic
- maximum entropy
- intrusion prevention
- computer vision