HIGHLIGHTS
- who: YING-DAR LIN and colleagues from the of Computer Science, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan have published the research: Machine Learning With Variational AutoEncoder for Imbalanced Datasets in Intrusion Detection, in the Journal: (JOURNAL)
- what: This work proposes a machine learning framework with a combination of a variational autoencoder and multilayer perceptron model to deal with imbalanced datasets and detect the explosion of attack variants on the Internet. The authors propose a machine_learning framework to detect security variants in heterogeneous networks. The authors provide a general and flexible solution to . . .
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