An optimal defensive deception framework for the container‐based cloud with deep reinforcement learning

An optimal defensive deception framework for the container‐based cloud with deep reinforcement learning

Abstract Defensive deception is emerging to reveal stealthy attackers by presenting intentionally falsified information. To implement it in the increasing dynamic and complex cloud, major concerns remain about the establishment of precise adversarial model and the adaptive decoy placement strategy....

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Bibliographic Details
Main Authors: Huanruo Li, Yunfei Guo, Penghao Sun, Yawen Wang, Shumin Huo
Format: Article
Language:English
Published: Wiley 2022-05-01
Series:IET Information Security
Subjects:
artificial intelligence
cloud security
computer network security
cyber deception defence
decoy placement strategy
deep reinforcement learning
Online Access:https://doi.org/10.1049/ise2.12050
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https://doi.org/10.1049/ise2.12050

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