A Clustering Method for Improving Performance of Anomaly-Based Intrusion Detection System.
Jungsuk SongKenji OhiraHiroki TakakuraYasuo OkabeYongjin KwonPublished in: IEICE Trans. Inf. Syst. (2008)
Keyphrases
- clustering method
- intrusion detection system
- intrusion detection
- anomaly detection
- network traffic
- network security
- normal behavior
- computer networks
- network intrusion detection
- clustering analysis
- clustering algorithm
- distributed intrusion detection
- cluster analysis
- similarity measure
- spectral clustering
- hierarchical clustering
- fuzzy c means
- subspace clustering
- attack detection
- affinity propagation
- clustering framework
- data mining
- k means
- data mining techniques
- training data
- alert correlation
- graph clustering
- clustering result
- metadata
- document clustering
- unsupervised learning