End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings.
Andrew GolczynskiJohn A. EmanuelloPublished in: CoRR (2021)
Keyphrases
- end to end
- anomaly detection
- detecting anomalies
- behavior analysis
- intrusion detection
- normal behavior
- anomalous behavior
- network intrusion detection
- natural language processing
- network traffic
- congestion control
- normal traffic
- one class support vector machines
- computer security
- intrusion detection system
- network anomaly detection
- detecting anomalous
- network security
- ad hoc networks
- unsupervised learning
- information extraction
- question answering
- text mining
- detect anomalies
- data mining
- malicious activities
- negative selection algorithm
- probabilistic model
- pairwise
- computer vision