Adversarial machine learning for nextg covert communications using multiple antennas

HIGHLIGHTS

  • who: Brian Kim et al. from the Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA have published the Article: Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas, in the Journal: Entropy 2022, 24, 1047. of /2022/
  • what: Covert communications has been studied to hide information in noise where the main goal has been to reduce the signal-to-noise ratio (SNR) at the eavesdropper . In this paper, the focus is on covert communications aided by a CJ, whose position can further boost the impact on the eavesdropper to . . .

     

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