Go With the Flow: Clustering Dynamically-Defined NetFlow Features for Network Intrusion Detection with DynIDS.
Luís DiasSimão ValenteMiguel CorreiaPublished in: NCA (2020)
Keyphrases
- network intrusion detection
- anomaly detection
- feature extraction
- network anomaly detection
- clustering method
- clustering algorithm
- artificial immune
- feature vectors
- image features
- fraud detection
- databases
- network intrusion
- feature space
- classification accuracy
- learning algorithm
- intrusion detection
- information retrieval
- electronic commerce
- intrusion detection system
- network traffic
- data sets