Multi-scale Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for unsupervised intrusion detection.
Yang ChenNami AshizawaChai Kiat YeoNaoto YanaiSeanglidet YeanPublished in: Knowl. Based Syst. (2021)
Keyphrases
- gaussian mixture model
- intrusion detection
- self organizing maps
- unsupervised learning
- multiscale
- mixture model
- anomaly detection
- expectation maximization
- intrusion detection system
- network security
- em algorithm
- network intrusion detection
- feature vectors
- network traffic
- gaussian mixture
- detecting anomalous
- feature space
- supervised learning
- maximum likelihood
- image segmentation
- neural network
- input data
- density estimation
- background subtraction
- k means
- semi supervised
- edge detection
- dimensionality reduction
- data mining
- speaker identification
- probabilistic neural network
- som neural network
- probabilistic model
- probability density function
- image processing
- alert correlation
- text mining
- data points
- text classification
- data mining techniques
- object recognition
- databases