Towards Interpretable Anomaly Detection: Unsupervised Deep Neural Network Approach using Feedback Loop.
Ashima ChawlaPaul JacobPaddy G. FarrellErik AumayrSheila FallonPublished in: NOMS (2022)
Keyphrases
- anomaly detection
- feedback loop
- neural network
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- novelty detection
- network intrusion detection
- network traffic
- steady state
- detecting anomalies
- anomalous behavior
- self organizing maps
- pattern recognition
- supervised learning
- network security
- detect anomalies
- network anomaly detection
- intrusion detection system
- semi supervised
- computer security
- detecting anomalous
- genetic algorithm
- finite element model
- one class support vector machines
- machine learning
- expectation maximization
- malware detection
- behavior analysis
- feature selection
- simulated annealing