Covert ISAC: Towards Collusive Detection

Integrated sensing and communication (ISAC) is seen as a future solution to frequency congestion due to its excellent ability to simultaneously support target sensing and information transmission. However, it also introduces a potential security threat due to the sensing behavior. In this paper, we propose a covert ISAC scheme against collusive wardens. In particular, a dual-function base station continuously sense an aerial target while communicating with a ground receiver. First, we derive a closed-form expression of each warden's detection outage probability to obtain the global detection outage probability. Then, we jointly optimize the communication and sensing beamformings to maximize the covert transmission rate under the worst case that all wardens can collusively adjust their detection thresholds to achieve the best detection. To tackle this non-convex optimization problem, an iteration scheme is proposed. Numerical results demonstrate the validity of the proposed covert ISAC scheme.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11160765
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
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Covert ISAC: Towards Collusive Detection

Chengwen Xing, Kai‐Kit Wong, Yujie Wu, Xiu Yin Zhang et al.
Internet Traffic Analysis and Secure E-voting
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Covert ISAC: Towards Collusive Detection

Chengwen Xing, Kai‐Kit Wong, Yujie Wu, Xiu Yin Zhang, Georgios Karagiannidis, Jie Tang, Nan Zhao
article en

Abstract

Integrated sensing and communication (ISAC) is seen as a future solution to frequency congestion due to its excellent ability to simultaneously support target sensing and information transmission. However, it also introduces a potential security threat due to the sensing behavior. In this paper, we propose a covert ISAC scheme against collusive wardens. In particular, a dual-function base station continuously sense an aerial target while communicating with a ground receiver. First, we derive a closed-form expression of each warden's detection outage probability to obtain the global detection outage probability. Then, we jointly optimize the communication and sensing beamformings to maximize the covert transmission rate under the worst case that all wardens can collusively adjust their detection thresholds to achieve the best detection. To tackle this non-convex optimization problem, an iteration scheme is proposed. Numerical results demonstrate the validity of the proposed covert ISAC scheme.

Beijing Institute of Technology (CN), Aristotle University of Thessaloniki (GR), Dalian University of Technology (CN), University College London (GB), South China University of Technology (CN)
Openalex Percentile: Top 86%
Internet Traffic Analysis and Secure E-voting
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