"EVADE: Efficient Moving Target Defense for Autonomous Network Topology ..."

Qisheng Zhang et al. (2023)

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DOI: 10.1007/978-3-031-33488-7_21

access: closed

type: Conference or Workshop Paper

metadata version: 2024-11-29

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Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Dan Dongseong Kim, Hyuk Lim, Frederica Nelson:
EVADE: Efficient Moving Target Defense for Autonomous Network Topology Shuffling Using Deep Reinforcement Learning. ACNS (1) 2023: 555-582

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