Self-Supervised and Interpretable Anomaly Detection using Network Transformers.
Daniel L. MarinoChathurika S. WickramasingheCraig RiegerMilos ManicPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- network traffic
- network anomaly detection
- detect anomalies
- intrusion detection
- network intrusion detection
- network intrusion
- intrusion detection system
- one class support vector machines
- anomalous behavior
- detecting anomalies
- computer security
- computer networks
- normal behavior
- behavior analysis
- unsupervised anomaly detection
- negative selection algorithm
- detecting anomalous
- intrusion prevention
- network security
- decision trees
- cumulative sum
- neural network
- data mining applications
- unsupervised learning
- reinforcement learning
- bayesian networks
- data mining