Differentially Private Federated Learningfor Anomaly Detection in eHealth Networks.
Ana CholakoskaBjarne PfitznerHristijan GjoreskiValentin RakovicBert ArnrichMarija KalendarPublished in: UbiComp/ISWC Adjunct (2021)
Keyphrases
- anomaly detection
- differentially private
- intrusion detection
- network traffic
- anomalous behavior
- differential privacy
- detecting anomalies
- network intrusion detection
- network anomaly detection
- one class support vector machines
- social networks
- intrusion detection system
- negative selection algorithm
- unsupervised learning
- information systems
- learning algorithm
- databases
- data sets