A Novel Framework for Transmitter Privacy in Integrated Sensing and Communication
Vaibhav Kumar, Ahmad Bazzi, Christina P\"opper, and Marwa Chafii

TL;DR
This paper proposes a RIS-assisted framework to enhance transmitter privacy in integrated sensing and communication systems by degrading unauthorized channel estimation while maintaining communication quality.
Contribution
It introduces a joint beamforming design that maximizes malicious sensor channel estimation error using artificial noise and RIS shaping, a novel approach for privacy protection.
Findings
RIS-assisted shaping significantly degrades unauthorized channel estimation.
The proposed method preserves communication quality.
Privacy improvements also enhance malicious sensor's angle-of-arrival estimation accuracy.
Abstract
ISAC systems introduce new privacy risks because an unintended sensing node may exploit the shared radio waveform to infer transmitter-related information even when the communication payload remains secure. This paper investigates transmitter privacy, defined as limiting unauthorized inference of transmitter-related information through channel estimation, in a RIS-aided multi-antenna wireless system with a transmitter, a legitimate receiver, a malicious sensor, and a RIS. The malicious sensor is assumed to estimate the transmitter--sensor channel, and the resulting channel state information can then support unauthorized sensing, inference, or related signal processing. To mitigate this threat, we consider a privacy-oriented design in which the transmitter adopts superposition-based signaling with a message signal and transmit-side artificial noise, while the RIS shapes the propagation…
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