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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Autors principals:	Eshagh Dehmollaian, Bernhard Etzlinger, Núria Ballber Torres, Andreas Springer
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-08-01
Col·lecció:	Sensors
Matèries:	physical tamper attack OFDM CSI deep learning anomaly detection
Accés en línia:	https://www.mdpi.com/1424-8220/22/17/6547
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