Log Message Anomaly Detection and Classification Using Auto-B/LSTM and Auto-GRU.
Amir FarzadT. Aaron GulliverPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- intrusion detection
- novelty detection
- anomalous behavior
- unsupervised learning
- network intrusion detection
- intrusion detection system
- detecting anomalies
- pattern recognition
- computer security
- behavior analysis
- network traffic
- network anomaly detection
- training set
- feature extraction
- decision trees
- network security
- negative selection algorithm
- unsupervised anomaly detection
- machine learning
- supervised learning
- feature space
- feature selection
- one class support vector machines
- detecting anomalous
- text mining
- recurrent neural networks
- text classification
- feature vectors
- pairwise
- detect anomalies
- data mining
- cumulative sum
- data sets