Ensemble learning based anomaly detection for IoT cybersecurity via Bayesian hyperparameters sensitivity analysis.
Tin LaiFarnaz FaridAbubakar BelloFariza SabrinaPublished in: Cybersecur. (2024)
Keyphrases
- anomaly detection
- sensitivity analysis
- ensemble learning
- hyperparameters
- bayesian inference
- maximum likelihood
- model selection
- cross validation
- closed form
- generalization ability
- prior information
- em algorithm
- bayesian framework
- support vector
- ensemble methods
- random sampling
- sample size
- probabilistic model
- maximum a posteriori
- random forest
- feature selection
- unsupervised learning
- concept drift
- generative model
- missing values
- bayesian networks
- base classifiers
- non stationary
- data sets
- unlabeled data
- support vector machine
- active learning
- data streams
- clustering algorithm
- computer vision
- data mining