Multi-Antenna Data-Driven Eavesdropping Attacks and Symbol-Level Precoding Countermeasures

@article{Mayouche2021MultiAntennaDE,
  title={Multi-Antenna Data-Driven Eavesdropping Attacks and Symbol-Level Precoding Countermeasures},
  author={Abderrahmane Mayouche and Wallace Alves Martins and Christos G. Tsinos and Symeon Chatzinotas and Bj{\"o}rn E. Ottersten},
  journal={IEEE Open Journal of Vehicular Technology},
  year={2021},
  volume={2},
  pages={321-336}
}
In this work, we consider secure communications in wireless multi-user (MU) multiple-input single-output (MISO) systems with channel coding in the presence of a multi-antenna eavesdropper (Eve), who is a legit user trying to eavesdrop other users. In this setting, we exploit machine learning (ML) tools to design soft and hard decoding schemes by using precoded pilot symbols as training data. The proposed ML frameworks allow an Eve to determine the transmitted message with high accuracy. We… Expand
1 Citations
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