Privacy-Preserving Anomaly Detection in Cloud Manufacturing Via Federated Transformer.
Shiyao MaJiangtian NieJiawen KangLingjuan LyuRyan Wen LiuRuihui ZhaoZiyao LiuDusit NiyatoPublished in: IEEE Trans. Ind. Informatics (2022)
Keyphrases
- anomaly detection
- privacy preserving
- cloud computing
- intrusion detection
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- data privacy
- anomalous behavior
- network intrusion detection
- detecting anomalies
- multi party
- intrusion detection system
- one class support vector machines
- private information
- privacy protection
- sensitive information
- detect anomalies
- sensitive data
- privacy concerns
- network traffic
- data sets
- unsupervised learning
- differential privacy
- distributed data
- secure multiparty computation
- privacy sensitive
- data sharing
- semi supervised
- probabilistic model
- decision trees
- information systems
- real world