Achieving privacy-preserving cross-silo anomaly detection using federated XGBoost.
Mengwei YangShuqi LiuJie XuGuozhen TanCongduan LiLinqi SongPublished in: J. Frankl. Inst. (2023)
Keyphrases
- privacy preserving
- anomaly detection
- privacy preserving data mining
- intrusion detection
- privacy preservation
- detecting anomalies
- vertically partitioned data
- network intrusion detection
- anomalous behavior
- detect anomalies
- network traffic
- data privacy
- privacy sensitive
- intrusion detection system
- sensitive information
- one class support vector machines
- privacy concerns
- network anomaly detection
- private information
- multi party
- negative selection algorithm
- sensitive data
- scalar product
- horizontally partitioned data
- differential privacy
- privacy protection
- data sources
- information systems
- social networks
- data mining
- pattern recognition
- feature selection
- machine learning
- databases