Using homomorphic encryption for privacy-preserving clustering of intrusion detection alerts.
Georgios P. SpathoulasGeorgios TheodoridisGeorgios-Paraskevas DamirisPublished in: Int. J. Inf. Sec. (2021)
Keyphrases
- intrusion detection
- privacy preserving
- homomorphic encryption
- intrusion detection system
- anomaly detection
- alert correlation
- privacy preserving data mining
- data sharing
- network security
- privacy preservation
- vertically partitioned data
- privacy concerns
- sensitive information
- privacy protection
- private information
- information security
- unsupervised learning
- multi party
- data privacy
- scalar product
- data sets
- data points
- data mining
- sensitive data
- metadata
- secure multi party computation
- cloud computing
- data mining techniques
- data sources
- similarity measure
- differential privacy
- privacy issues
- databases
- database