When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing

@article{Luo2019WhenAM,
  title={When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing},
  author={Zhengping Luo and Shangqing Zhao and Z. Lu and J. Xu and Y. Sagduyu},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.01430}
}
Defense strategies have been well studied to combat Byzantine attacks that aim to disrupt cooperative spectrum sensing by sending falsified sensing data. However, existing studies usually make network or attack assumptions biased towards the defense (e.g., assuming the prior knowledge of attacks is known). In practice, attackers can adopt any arbitrary behavior and avoid any pre-assumed pattern or assumption used by defense strategies. In this paper, we revisit this traditional security problem… Expand
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