MMM-RF: A novel high accuracy multinomial mixture model for network intrusion detection systems.
Mohamed HammadNabil M. HewahiWael ElmedanyPublished in: Comput. Secur. (2022)
Keyphrases
- mixture model
- network intrusion detection systems
- em algorithm
- dirichlet distribution
- probabilistic model
- expectation maximization
- intrusion detection
- intrusion detection system
- network intrusion
- exponential family
- gaussian mixture model
- maximum likelihood
- generative model
- dirichlet prior
- density estimation
- mixture modeling
- text classification
- gaussian mixture
- probability density function
- unsupervised learning
- network intrusion detection
- network security
- language model
- text categorization
- computer networks
- anomaly detection
- model selection
- dirichlet process
- text mining
- probabilistic mixture model
- data mining
- fraud detection
- network traffic
- naive bayes
- training data