most citedMTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network

29 citations · 29 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CR2023★ 29 cited

MTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network

Haili Sun, Yan Huang, Lansheng Han +3

Deep generative models are promising in detecting novel cyber-physical attacks, mitigating the vulnerability of Cyber-physical systems (CPSs) without relying on labeled information…