DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks.
Nour MoustafaMarwa KeshkKim-Kwang Raymond ChooTimothy M. LynarSeyit CamtepeMonica T. WhittyPublished in: Future Gener. Comput. Syst. (2021)
Keyphrases
- anomaly detection
- statistical learning
- one class support vector machines
- computer networks
- intrusion detection
- anomalous behavior
- network traffic
- intrusion detection system
- detecting anomalies
- model selection
- network intrusion detection
- information theory
- supervised learning
- detecting anomalous
- unsupervised learning
- neural network
- tensor analysis
- network security
- negative selection algorithm
- image processing
- data sets
- semi supervised learning
- network anomaly detection
- learning algorithm
- detect anomalies
- bayesian networks
- databases
- training set
- text mining
- image segmentation
- ensemble methods
- information theoretic