Efficient anomaly detection through surrogate neural networks.
Martin FlusserPetr SomolPublished in: Neural Comput. Appl. (2022)
Keyphrases
- anomaly detection
- neural network
- intrusion detection
- detecting anomalies
- anomalous behavior
- connectionist systems
- network traffic
- network anomaly detection
- intrusion detection system
- unsupervised anomaly detection
- pattern recognition
- network intrusion detection
- detect anomalies
- artificial neural networks
- network security
- behavior analysis
- one class support vector machines
- detecting anomalous
- cumulative sum
- computer security
- negative selection algorithm
- text classification
- training data
- decision trees
- real world
- data sets