most citedSynthetic flow-based cryptomining attack generation through Generative Adversarial Networks

32 citations · 32 across the 1 of their papers we have counts for

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1 paper

cs.CR2021★ 32 cited

Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks

Alberto Mozo, Ángel González-Prieto, Antonio Pastor +2

Due to the growing rise of cyber attacks in the Internet, flow-based data sets are crucial to increase the performance of the Machine Learning (ML) components that run in network-b…