Secure Cell-Free Integrated Sensing and Communication in the Presence of Information and Sensing Eavesdroppers

TL;DR

This paper develops a secure cell-free integrated sensing and communication system that optimizes joint beamforming to maximize detection probability while ensuring confidentiality against both information and sensing eavesdroppers.

Contribution

It introduces a novel joint beamforming optimization framework for secure cell-free ISAC considering both communication and sensing security threats, with globally optimal solutions.

Findings

Proposed beamforming design enhances detection probability and security.

SDR technique achieves globally optimal solutions for complex non-convex problems.

Numerical results demonstrate the superiority of the proposed methods over benchmarks.

Abstract

This paper studies a secure cell-free integrated sensing and communication (ISAC) system, in which multiple ISAC transmitters collaboratively send confidential information to multiple communication users (CUs) and concurrently conduct target detection. Different from prior works investigating communication security against potential information eavesdropping, we consider the security of both communication and sensing in the presence of both information and sensing eavesdroppers that aim to intercept confidential communication information and extract target information, respectively. Towards this end, we optimize the joint information and sensing transmit beamforming at these ISAC transmitters for secure cell-free ISAC. Our objective is to maximize the detection probability over a designated sensing area while ensuring the minimum signal-to-interference-plus-noise-ratio (SINR) requirements at CUs. Our formulation also takes into account the maximum tolerable signal-to-noise ratio (SNR) at information eavesdroppers for ensuring the confidentiality of information transmission, and the maximum detection probability constraints at sensing eavesdroppers for preserving sensing privacy. The formulated secure joint transmit beamforming problem is highly non-convex due to the intricate interplay between the detection probabilities, beamforming vectors, and SINR constraints. Fortunately, through strategic manipulation and via applying the semidefinite relaxation (SDR) technique, we successfully obtain the globally optimal solution to the design problem by rigorously verifying the tightness of SDR. Furthermore, we present two alternative joint beamforming designs based on the sensing SNR maximization over the specific sensing area and the coordinated beamforming, respectively. Numerical results reveal the benefits of our proposed design over these alternative benchmarks.