Selection of Deep Neural Network Models for IoT Anomaly Detection Experiments.
Diana GaifulinaIgor V. KotenkoPublished in: PDP (2021)
Keyphrases
- anomaly detection
- neural network model
- intrusion detection
- neural network
- artificial neural networks
- detecting anomalies
- network intrusion detection
- unsupervised anomaly detection
- anomalous behavior
- intrusion detection system
- network traffic
- computer security
- neural models
- behavior analysis
- one class support vector machines
- detect anomalies
- network anomaly detection
- network security
- unsupervised learning
- cumulative sum
- genetic algorithm
- detecting anomalous
- support vector
- selection strategy
- network intrusion
- text classification
- data sets