Towards a Privacy-preserving Deep Learning-based Network Intrusion Detection in Data Distribution Services.
Stanislav AbaimovPublished in: CoRR (2021)
Keyphrases
- privacy preserving
- data distribution
- network intrusion detection
- deep learning
- user privacy
- anomaly detection
- intrusion detection
- unsupervised learning
- data streams
- fraud detection
- machine learning
- high dimensional data
- index structure
- intrusion detection system
- data points
- weakly supervised
- communication cost
- network traffic
- object recognition
- mental models
- outlier detection
- management system
- data structure
- pattern recognition
- support vector machine
- knowledge discovery
- query processing
- pairwise
- bayesian networks
- similarity measure
- database systems