Intrusion Detection in Computer Networks using Latent Space Representation and Machine Learning.
Vladyslav HamoliaViktor MelnykPavlo ZhezhnychAnna ShilinhPublished in: Int. J. Comput. (2020)
Keyphrases
- computer networks
- intrusion detection system
- intrusion detection
- latent space
- network security
- network traffic
- machine learning
- anomaly detection
- latent variables
- low dimensional
- network intrusion detection
- data mining
- gaussian process
- transfer learning
- dimensionality reduction
- parameter space
- manifold learning
- feature space
- gaussian processes
- computer systems
- high dimensional
- generative model
- matrix factorization
- lower dimensional
- information security
- cyber security
- data mining techniques
- distance metric
- probabilistic latent semantic analysis
- network monitoring
- pattern recognition
- machine learning algorithms
- active learning
- data analysis
- decision trees
- database
- random variables
- unsupervised learning
- model selection
- reinforcement learning