Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold.
Tolulope AleNicole-Jeanne SchlegelVandana P. JanejaPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- unsupervised anomaly detection
- unsupervised learning
- network traffic
- behavior analysis
- one class support vector machines
- detecting anomalous
- computer security
- network anomaly detection
- intrusion detection system
- negative selection algorithm
- detect anomalies
- data mining
- k means
- neural network
- cumulative sum
- clustering algorithm
- feature vectors
- network security
- self organizing maps