Unsupervised Detection and Clustering of Malicious TLS Flows.
Gibran GómezPlaton KotziasMatteo Dell'AmicoLeyla BilgeJuan CaballeroPublished in: CoRR (2021)
Keyphrases
- unsupervised learning
- clustering algorithm
- unsupervised clustering
- clustering method
- unsupervised classification
- unsupervised manner
- detection algorithm
- false positives
- detection method
- agglomerative clustering
- hierarchical clustering
- supervised classification
- k means
- anomaly detection
- data driven
- detection accuracy
- categorical data
- false alarms
- information bottleneck
- detect malicious
- spectral clustering
- unsupervised feature selection
- data clustering
- cluster analysis
- distance metric
- self organizing maps
- semi supervised
- completely unsupervised
- malicious attacks
- cluster validation
- detection rate
- automatic detection
- machine learning
- document clustering
- parameter estimation
- data points
- learning algorithm