Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas

This paper studies the privacy of wireless communications from an eavesdropper that employs a deep learning (DL) classifier to detect transmissions of interest. There exists one transmitter that transmits to its receiver in the presence of an eavesdropper. In the meantime, a cooperative jammer (CJ)...

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Detalles Bibliográficos
Autores principales: Kim, Brian, Sagduyu, Yalin, Davaslioglu, Kemal, Erpek, Tugba, Ulukus, Sennur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407147/
https://www.ncbi.nlm.nih.gov/pubmed/36010711
http://dx.doi.org/10.3390/e24081047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407147/
https://www.ncbi.nlm.nih.gov/pubmed/36010711
http://dx.doi.org/10.3390/e24081047

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