Securing the Sensing Functionality in ISAC Networks: An Artificial Noise Design

Jiaqi Zou1,2; Christos Masouros3; Fan Liu4; Songlin Sun5

2024

10.1109/TVT.2024.3422036

IEEE Transactions on Vehicular Technology   影响因子和分区

1939-9359

Integrated sensing and communications (ISAC) systems employ dual-functional signals to simultaneously accomplish radar sensing and wireless communication tasks. However, ISAC systems open up new sensing security vulnerabilities to malicious illegitimate eavesdroppers (Eves) that can also exploit the transmitted waveform to extract sensing information from the environment. In this paper, we investigate the beamforming design to enhance the sensing security of an ISAC system, where the communication user (CU) serves as a sensing Eve. Our objective is to maximize the mutual information (MI) for the legitimate radar sensing receiver while considering the constraint of the MI for the Eve and the quality of service to the CUs. Then, we consider the artificial noise (AN)-aided beamforming to further enhance the sensing security. Simulation results demonstrate that our proposed methods achieve MI improvement of the legitimate receiver while limiting the sensing MI of the Eve, compared with the baseline scheme, and that the utilization of AN further contributes to sensing security.

EI

其他

ENGINEERING

1.School of Information and Communication Engineering, Beijing University of Posts and Telecommunications (BUPT), Beijing, China
2.Department of Electrical and Electronic Engineering, University College London, London, U.K.
3.Department of Electronic and Electrical Engineering, University College London, London, U.K.
4.School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China
5.Beijing University of Posts and Telecommunications (BUPT), Beijing, China

Jiaqi Zou,Christos Masouros,Fan Liu,et al. Securing the Sensing Functionality in ISAC Networks: An Artificial Noise Design[J]. IEEE Transactions on Vehicular Technology,2024,PP(99).

Jiaqi Zou,Christos Masouros,Fan Liu,&Songlin Sun.(2024).Securing the Sensing Functionality in ISAC Networks: An Artificial Noise Design.IEEE Transactions on Vehicular Technology,PP(99).

Jiaqi Zou,et al."Securing the Sensing Functionality in ISAC Networks: An Artificial Noise Design".IEEE Transactions on Vehicular Technology PP.99(2024).