We study the vulnerability of artificial intelligence assisted network automation (AIaNA), and design a deep reinforcement learning (DRL) model to mislead the AIaNA in software-defined IP over elastic optical networks (SD-IPoEONs) through crafting/injecting adversarial traffic samples.

© 2020 The Author(s)

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