Privacy-preserving anomaly detection in the cloud for quality assured decision-making in smart cities.
Abdulatif AlabdulatifIbrahim KhalilHeshan KumarageAlbert Y. ZomayaXun YiPublished in: J. Parallel Distributed Comput. (2019)
Keyphrases
- anomaly detection
- privacy preserving
- intrusion detection
- privacy preserving data mining
- smart cities
- detecting anomalies
- vertically partitioned data
- private information
- intrusion detection system
- sensitive information
- detect anomalies
- personal data
- cloud computing
- privacy concerns
- data mining
- data privacy
- privacy protection
- unsupervised learning
- sensitive data
- world wide
- smart city
- fraud detection
- data mining applications
- data quality
- neural network