A Copula-Driven Unsupervised Learning Framework for Anomaly Detection with Multivariate Heterogeneous Data.
Swaroop DamodaranRam PadmanabhanR. MaahinSanjeev GurugopinathPublished in: MLSP (2021)
Keyphrases
- anomaly detection
- unsupervised learning
- heterogeneous data
- intrusion detection
- anomalous behavior
- network traffic
- intrusion detection system
- negative selection algorithm
- supervised learning
- probabilistic model
- network intrusion detection
- nearest neighbor
- data management
- semi supervised
- data sources
- data integration
- pairwise
- metadata
- complex data
- real world
- data sets
- database