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Secure Beamforming for ISAC Systems Under Communication Eavesdropper and Sensing Eavesdropper

Tian Zhang, Zhirong Su, Yueyi Dong

TL;DR

The physical layer security (PLS) of ISAC system under communication eavesdropper together with sensing eavesdropper is investigated and an iterated joint secure beamforming algorithm against communication and sensing eavesdroppers is proposed.

Abstract

Due to great efficiency improvement in resource and hardware space, integrated sensing and communication (ISAC) has gained much attention. In the paper, the physical layer security (PLS) of ISAC system under communication eavesdropper together with sensing eavesdropper is investigated. The system secrecy rate is maximized by transmit beamforming design of communication and sensing signals when taking sensing security, sensing performance and transmit power constraint into consideration. To deal with the formulated non-convex optimization problem, the successive convex approximation (SCA) together with the first-order Taylor expansion and semidefinite relaxation (SDR) is utilized. Additionally, it is theoretically validated that the SDR does not yield sub-optimality in the paper. Thereafter, an iterated joint secure beamforming algorithm against communication and sensing eavesdroppers is proposed. Simulation results validate the effectiveness and advance of the proposed scheme.

Secure Beamforming for ISAC Systems Under Communication Eavesdropper and Sensing Eavesdropper

TL;DR

The physical layer security (PLS) of ISAC system under communication eavesdropper together with sensing eavesdropper is investigated and an iterated joint secure beamforming algorithm against communication and sensing eavesdroppers is proposed.

Abstract

Due to great efficiency improvement in resource and hardware space, integrated sensing and communication (ISAC) has gained much attention. In the paper, the physical layer security (PLS) of ISAC system under communication eavesdropper together with sensing eavesdropper is investigated. The system secrecy rate is maximized by transmit beamforming design of communication and sensing signals when taking sensing security, sensing performance and transmit power constraint into consideration. To deal with the formulated non-convex optimization problem, the successive convex approximation (SCA) together with the first-order Taylor expansion and semidefinite relaxation (SDR) is utilized. Additionally, it is theoretically validated that the SDR does not yield sub-optimality in the paper. Thereafter, an iterated joint secure beamforming algorithm against communication and sensing eavesdroppers is proposed. Simulation results validate the effectiveness and advance of the proposed scheme.
Paper Structure (9 sections, 1 theorem, 48 equations, 9 figures, 1 table)

This paper contains 9 sections, 1 theorem, 48 equations, 9 figures, 1 table.

Table of Contents

  1. Introduction
  2. System Model and Problem Formulation
  3. Communications Model
  4. Sensing Model
  5. Security Model
  6. Problem Formulation
  7. Problem Solution and algorithm design
  8. Numerical Results
  9. Conclusion

Key Result

Lemma 1

Given $P>0$, the solution of (P3) can be obtained by solving the following convex optimization problem (P4).

Figures (9)

  • Figure 1: System model
  • Figure 2: Convergence performance
  • Figure 3: Sensing SCNR at the sensing eavesdropper v.s. BS SCNR threshold
  • Figure 4: The feasibility probability v.s. $\gamma_s$
  • Figure 5: System secrecy rate v.s. maximum BS transmit power
  • ...and 4 more figures

Theorems & Definitions (1)

  • Lemma 1