P2CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the k-barriers for intrusion detection.
Abhilash SinghJaiprakash NagarJ. AmuthaSandeep SharmaPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- intrusion detection
- principal components analysis
- additive model
- intrusion detection system
- anomaly detection
- network security
- cellular automata
- monte carlo simulation
- covariance matrix
- network traffic
- network intrusion detection
- linear model
- probabilistic model
- linear discriminant analysis
- principal components
- support vector machine
- dimensionality reduction
- high detection rate
- network intrusion
- information security
- data sets
- detecting anomalous
- bayesian networks
- neural network
- data mining techniques
- feature extraction
- data mining
- monte carlo
- supervised learning
- association rules
- network attacks