Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks.
Oliver AmmannGabriel MichauOlga FinkPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- neural network
- intrusion detection
- pattern recognition
- detect anomalies
- novelty detection
- unsupervised learning
- network intrusion detection
- connectionist systems
- anomalous behavior
- detecting anomalies
- behavior analysis
- pattern classification
- intrusion detection system
- network anomaly detection
- unsupervised anomaly detection
- one class support vector machines
- detecting anomalous
- network security
- network traffic
- feature extraction
- decision trees
- support vector machine
- feature vectors
- artificial neural networks
- data analysis
- negative selection algorithm
- computer vision
- data sets
- machine learning
- model selection
- computer security
- active learning
- evolutionary algorithm
- feature selection