Privacy-Preserving Anomaly Detection in Smart Meter Data Via Federated Learning.
Nourchen MoumniFaten ChaabaneFadoua DriraPublished in: CW (2023)
Keyphrases
- privacy preserving
- anomaly detection
- data privacy
- intrusion detection
- private data
- learning algorithm
- data sources
- data sets
- data analysis
- privacy concerns
- network intrusion detection
- privacy sensitive
- detect anomalies
- preserving privacy
- data quality
- distributed data
- personal data
- sensitive information
- knowledge discovery
- training data
- data mining methods
- anomalous behavior
- record linkage
- privacy preserving data mining
- vertically partitioned data
- computer systems
- privacy preservation
- privacy requirements
- horizontally partitioned data
- sensitive data
- private information
- original data
- unsupervised learning
- supervised learning
- reinforcement learning