Anomaly Detection as a Service: An Outsourced Anomaly Detection Scheme for Blockchain in a Privacy-Preserving Manner.
Yuhan SongFushan WeiKaijie ZhuYuefei ZhuPublished in: IEEE Trans. Netw. Serv. Manag. (2022)
Keyphrases
- anomaly detection
- privacy preserving
- detection scheme
- service providers
- privacy preserving data mining
- detecting anomalies
- privacy preservation
- anomalous behavior
- intrusion detection
- network traffic
- vertically partitioned data
- network intrusion detection
- third party
- detect anomalies
- one class support vector machines
- data privacy
- privacy protection
- privacy sensitive
- sensitive data
- scalar product
- secure multiparty computation
- privacy concerns
- private information
- sensitive information
- intrusion detection system
- differential privacy
- negative selection algorithm
- unsupervised learning
- web services
- data mining
- object recognition
- learning algorithm