Enhancing Sensing Privacy in ISAC Through Joint Signal and Artificial Noise Beamforming
Ahmad Musallam, Husheng Li
Abstract
Integrated sensing and communications (ISAC) is a promising feature in 6G networks. It is envisioned to enhance spectral efficiency and provide sensing and communication services that meet the stringent requirements of future applications. However, it also poses new security and privacy concerns by giving malicious attackers access to new information about the network. In this work, we focus on the sensing privacy of a monostatic ISAC system by investigating the capability of a sensing eavesdropper (EVE) with an unknown location, acting as a passive bistatic radar (PBR) to gain access to user location information. We then propose a joint transmit and artificial noise (AN) beamforming optimization problem to degrade EVE's performance. Finally, we propose an iterative algorithm to solve the proposed optimization problem and evaluate its performance.
Create a lesson
Related papers
From Multimode Near-Field Coupling to Friis
Mats Gustafsson
Distributed Sensing on a 110-kV Overhead-Line Maintenance Operation on an Operational Optical Ground Wire
Konstantinos Alexoudis, Torm Järvelill, Hendrik Johann Kerm et al.
Stable Filters for Generative Modeling of Graph Signals
Martin Schmidt, Gonzalo Mateos
Learning Array Signal Topologies as Conditional Neural Manifolds
Julian P. Merkofer, Vincent van de Schaft, Ruud J. G. van Sloun
QUBO Formulations of the Downlink MIMO Scheduling Problem in 5G Base Stations
Olli Apilo, Jorma Kilpi
Massive MIMO ISAC Under Target-Angle Uncertainty: CRLB Outage Analysis and Robust Resource Allocation
Smriti Uniyal, Tianyu Fang, Van-Dinh Nguyen et al.