Selecting Gaussian Process Regression Kernels for IoT Intrusion Detection and Classification.
Cosmas Ifeanyi NwakanmaLove Allen Chijioke AhakonyeJae-Min LeeDong-Seong KimPublished in: ICTC (2021)
Keyphrases
- intrusion detection
- gaussian process regression
- intrusion detection system
- anomaly detection
- support vector
- network intrusion detection
- gaussian processes
- network security
- network traffic
- covariance function
- feature space
- detecting anomalous
- classification accuracy
- decision trees
- high detection rate
- data mining
- gaussian process
- text classification
- network attacks
- machine learning
- kernel methods
- data sets
- unsupervised learning
- feature extraction
- supervised learning
- latent variables
- alert correlation
- databases
- feature selection
- cost sensitive
- computer networks
- bayesian networks
- support vector machine
- cloud computing
- model selection
- data mining techniques