Detecting anomalies in network traffic using Entropy and Mahalanobis distance.
Jayro Santiago-PazDeni Torres RománPablo Velarde-AlvaradoPublished in: CONIELECOMP (2012)
Keyphrases
- network traffic
- detecting anomalies
- mahalanobis distance
- anomaly detection
- intrusion detection
- noise model
- network intrusion detection
- covariance matrix
- euclidean distance
- intrusion detection system
- metric learning
- distance metric
- long range dependence
- data distribution
- unsupervised learning
- data mining applications
- noise level
- pairwise
- data streams
- training data
- database systems
- machine learning
- data sets