Bi-LSTM: Finding Network Anomaly Based on Feature Grouping Clustering.
Mengbo XiongHuizhen MaZhou FangDong WangQiuyun WangXuren WangPublished in: MLMI (2020)
Keyphrases
- anomaly detection
- network traffic
- unsupervised learning
- network model
- clustering algorithm
- recurrent neural networks
- k means
- clustering method
- network structure
- abnormal events
- data clustering
- communication networks
- cluster analysis
- hierarchical clustering
- feature importance
- fuzzy clustering
- network architecture
- detect anomalies
- computer networks
- complex networks
- information theoretic
- business intelligence
- peer to peer
- spectral clustering
- self organizing maps
- intrusion detection
- agglomerative clustering
- neural network
- data sets