Secure Full Duplex Integrated Sensing and Communications
Ahmad Bazzi, Marwa Chafii

TL;DR
This paper develops a secure full duplex integrated sensing and communication framework that uses beamforming and artificial noise to ensure secrecy and radar eavesdropper illumination, validated through simulations.
Contribution
It introduces a novel power-efficient optimization framework for secure ISAC that balances secrecy, radar sensing, and communication performance.
Findings
The proposed beamforming solution enhances secrecy rates.
Artificial noise improves security against eavesdroppers.
Simulation results demonstrate the approach's effectiveness and trade-offs.
Abstract
The following paper models a secure full duplex (FD) integrated sensing and communication (ISAC) scenario, where malicious eavesdroppers aim at intercepting the downlink (DL) as well as the uplink (UL) information exchanged between the dual functional radar and communication (DFRC) base station (BS) and a set of communication users. The DFRC BS, on the other hand, aims at illuminating radar beams at the eavesdroppers in order to sense their physical parameters, while maintaining high UL/DL secrecy rates. Based on the proposed model, we formulate a power efficient secure ISAC optimization framework design, which is intended to guarantee both UL and DL secrecy rates requirements, while illuminating radar beams towards eavesdroppers. The framework exploits artificial noise (AN) generation at the DFRC BS, along with UL/DL beamforming design and UL power allocation. We propose a beamforming…
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Taxonomy
TopicsRadar Systems and Signal Processing · Wireless Communication Security Techniques · Full-Duplex Wireless Communications
MethodsSparse Evolutionary Training · Balanced Selection
