Applying an Improved DBSCAN Clustering Algorithm to Network Intrusion Detection.
Shunyu YaoHui XuLingyu YanJun SuPublished in: IDAACS (2021)
Keyphrases
- network intrusion detection
- clustering algorithm
- intrusion detection
- anomaly detection
- k means
- network intrusion
- density based clustering
- artificial immune
- network anomaly detection
- fraud detection
- intrusion detection system
- data clustering
- network traffic data
- spatial clustering
- clustering method
- network traffic
- density based clustering algorithm
- cluster analysis
- subspace clustering
- clustering quality
- object recognition
- decision trees
- data mining
- network attacks
- real world
- databases