Privacy-preserving knowledge transfer for intrusion detection with federated deep autoencoding gaussian mixture model.
Yang ChenJunzhe ZhangChai Kiat YeoPublished in: Inf. Sci. (2022)
Keyphrases
- gaussian mixture model
- knowledge transfer
- privacy preserving
- intrusion detection
- intrusion detection system
- mixture model
- anomaly detection
- privacy preserving data mining
- knowledge sharing
- transfer learning
- feature vectors
- maximum likelihood
- multi party
- private information
- sensitive information
- information security
- data mining
- privacy concerns
- em algorithm
- expectation maximization
- data mining techniques
- learning tasks
- feature space
- sensitive data
- learning algorithm
- privacy issues
- image classification
- learning process
- data analysis
- similarity measure
- social networks
- data sets