Dual Security for MIMO-OFDM ISAC Systems: Artificial Ghosts or Artificial Noise

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Yang, Yinchao, Gautam, Prabhat Raj, Bouazizi, Yathreb, Breza, Michael, McCann, Julie
Formato: Preprint
Publicado: 2026
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866911463135772672
author Yang, Yinchao
Gautam, Prabhat Raj
Bouazizi, Yathreb
Breza, Michael
McCann, Julie
author_facet Yang, Yinchao
Gautam, Prabhat Raj
Bouazizi, Yathreb
Breza, Michael
McCann, Julie
contents Integrated sensing and communication (ISAC) enables the efficient sharing of wireless resources to support emerging applications, but it also gives rise to new sensing-based security vulnerabilities. Here, potential communication security threats whereby confidential messages intended for legitimate users are intercepted, but also unauthorized receivers (Eves) can passively exploit target echoes to infer sensing parameters without users being aware. Despite these risks, the joint protection of sensing and communication security in ISAC systems remains unexplored. To address this challenge, this paper proposes a two-layer dual-secure ISAC framework that simultaneously protects sensing and communication against passive sensing Eves and communication Eves, without requiring their channel state information (CSI). Specifically, transmit beamformers are jointly designed to inject artificial noise (AN) to introduce interference to communication Eves, while deliberately distorting the reference signal available to sensing Eves to impair their sensing capability. Furthermore, the proposed design generates artificial ghosts (AGs) with fake angle-range-velocity profiles observable by all receivers. Legitimate receivers can suppress these AGs, whereas sensing Eves cannot, thereby significantly reducing their probability of correctly detecting the true targets. Numerical results demonstrate that the proposed framework effectively enhances both communication and sensing security, while preserving the performance of communication users and legitimate sensing receivers.
format Preprint
id arxiv_https___arxiv_org_abs_2602_20045
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Dual Security for MIMO-OFDM ISAC Systems: Artificial Ghosts or Artificial Noise
Yang, Yinchao
Gautam, Prabhat Raj
Bouazizi, Yathreb
Breza, Michael
McCann, Julie
Signal Processing
Information Theory
Integrated sensing and communication (ISAC) enables the efficient sharing of wireless resources to support emerging applications, but it also gives rise to new sensing-based security vulnerabilities. Here, potential communication security threats whereby confidential messages intended for legitimate users are intercepted, but also unauthorized receivers (Eves) can passively exploit target echoes to infer sensing parameters without users being aware. Despite these risks, the joint protection of sensing and communication security in ISAC systems remains unexplored. To address this challenge, this paper proposes a two-layer dual-secure ISAC framework that simultaneously protects sensing and communication against passive sensing Eves and communication Eves, without requiring their channel state information (CSI). Specifically, transmit beamformers are jointly designed to inject artificial noise (AN) to introduce interference to communication Eves, while deliberately distorting the reference signal available to sensing Eves to impair their sensing capability. Furthermore, the proposed design generates artificial ghosts (AGs) with fake angle-range-velocity profiles observable by all receivers. Legitimate receivers can suppress these AGs, whereas sensing Eves cannot, thereby significantly reducing their probability of correctly detecting the true targets. Numerical results demonstrate that the proposed framework effectively enhances both communication and sensing security, while preserving the performance of communication users and legitimate sensing receivers.
title Dual Security for MIMO-OFDM ISAC Systems: Artificial Ghosts or Artificial Noise
topic Signal Processing
Information Theory
url https://arxiv.org/abs/2602.20045