DL-Based Physical Tamper Attack Detection in OFDM Systems with Multiple Receiver Antennas: A Performance–Complexity Trade-Off

This paper proposes two deep-learning (DL)-based approaches to a physical tamper attack detection problem in orthogonal frequency division multiplexing (OFDM) systems with multiple receiver antennas based on channel state information (CSI) estimates. The physical tamper attack is considered as the u...

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Detalles Bibliográficos
Autores principales: Dehmollaian, Eshagh, Etzlinger, Bernhard, Torres, Núria Ballber, Springer, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459744/
https://www.ncbi.nlm.nih.gov/pubmed/36081004
http://dx.doi.org/10.3390/s22176547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459744/
https://www.ncbi.nlm.nih.gov/pubmed/36081004
http://dx.doi.org/10.3390/s22176547

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