Network Anomaly Detection Using Unsupervised Feature Selection and Density Peak Clustering.
Xiejun NiDaojing HeSammy ChanFarooq AhmadPublished in: ACNS (2016)
Keyphrases
- unsupervised feature selection
- network anomaly detection
- data clustering
- anomaly detection
- feature selection
- network intrusion detection
- self organizing maps
- clustering algorithm
- negative matrix factorization
- k means
- dimensionality reduction
- cluster analysis
- intrusion detection system
- feature subset
- spectral clustering
- document clustering
- data sets
- intrusion detection
- reinforcement learning
- machine learning