Deep Learning for Launching and Mitigating Wireless Jamming Attacks

3 Jul 2018Tugba ErpekYalin E. SagduyuYi Shi

An adversarial machine learning approach is introduced to launch jamming attacks on wireless communications and a defense strategy is presented. A cognitive transmitter uses a pre-trained classifier to predict the current channel status based on recent sensing results and decides whether to transmit or not, whereas a jammer collects channel status and ACKs to build a deep learning classifier that reliably predicts the next successful transmissions and effectively jams them... (read more)

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