Generative adversarial network in the air: Deep adversarial learning for wireless signal spoofing

Y Shi, K Davaslioglu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The spoofing attack is critical to bypass physical-layer signal authentication. This paper
presents a deep learning-based spoofing attack to generate synthetic wireless signals that …
被引用次数：102 相关文章
[PDF] researchgate.net

[PDF][PDF] Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing

Y Shi, K Davaslioglu, YE Sagduyu - arXiv preprint arXiv …, 2020 - researchgate.net
The spoofing attack is critical to bypass physicallayer signal authentication. This paper
presents a deep learningbased spoofing attack to generate synthetic wireless signals that …

Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing

Y Shi, K Davaslioglu, YE Sagduyu - arXiv preprint arXiv:2007.08363, 2020 - arxiv.org
The spoofing attack is critical to bypass physical-layer signal authentication. This paper
presents a deep learning-based spoofing attack to generate synthetic wireless signals that …

Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing

Y Shi, K Davaslioglu, YE Sagduyu - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
The spoofing attack is critical to bypass physical-layer signal authentication. This paper
presents a deep learning-based spoofing attack to generate synthetic wireless signals that …