An improved scheme for privacy-preserving collaborative anomaly detection.
Lingjuan LyuYee Wei LawSarah M. ErfaniChristopher LeckieMarimuthu PalaniswamiPublished in: PerCom Workshops (2016)
Keyphrases
- anomaly detection
- privacy preserving
- horizontally partitioned data
- intrusion detection
- privacy preserving data mining
- vertically partitioned data
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- privacy preservation
- multi party
- unsupervised learning
- one class support vector machines
- data privacy
- network anomaly detection
- intrusion detection system
- detect anomalies
- sensitive information
- privacy sensitive
- privacy concerns
- privacy protection
- private information
- negative selection algorithm
- data sets
- scalar product
- sensitive data
- personal data
- secure multiparty computation
- information systems
- differential privacy
- third party
- pattern recognition
- medical images