Network Intrusion Detection by Variational Component-Based Feature Saliency Gaussian Mixture Clustering.
Xin HongZafeirios C. PapazachosJesús Martínez del RincónPaul MillerPublished in: ESORICS Workshops (2) (2023)
Keyphrases
- network intrusion detection
- gaussian mixture
- anomaly detection
- mixtures of gaussians
- intrusion detection
- fraud detection
- density estimation
- network intrusion
- closed form
- gaussian mixture model
- em algorithm
- mixture model
- network traffic
- probability density function
- expectation maximization
- outlier detection
- covariance matrix
- intrusion detection system
- clustering algorithm
- k means
- image segmentation
- image features
- machine learning
- maximum likelihood
- text classification
- databases
- unsupervised learning
- knn
- data points
- probabilistic model
- feature vectors
- pairwise
- feature extraction
- image processing