Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer.
Shiyao MaJiangtian NieJiawen KangLingjuan LyuRyan Wen LiuRuihui ZhaoZiyao LiuDusit NiyatoPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- privacy preserving
- intrusion detection
- cloud computing
- vertically partitioned data
- privacy preserving data mining
- detecting anomalies
- privacy preservation
- network traffic
- anomalous behavior
- network intrusion detection
- intrusion detection system
- sensitive information
- multi party
- data sources
- private information
- sensitive data
- data privacy
- detect anomalies
- negative selection algorithm
- privacy protection
- scalar product
- unsupervised learning
- personal data
- data sets
- one class support vector machines
- privacy sensitive
- privacy concerns
- real world
- semi supervised
- knowledge discovery
- active learning
- pattern recognition
- similarity measure
- data mining