Skip to content
AI Sec Watch

The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.

InfoResearchPeer-reviewed

Robust and Adaptive Beamforming for Covert ISAC Under Dual Uncertainties

Source
IEEE Xplore (Security & AI Journals)(opens in a new tab)
Published
Record updated

Summary

This paper addresses joint beamforming for covert integrated sensing and communication (ISAC) under dual uncertainties at a passive eavesdropper: imperfect channel state information and unknown noise power. It maximizes radar mutual information while meeting covertness and quality of service requirements. Simulations report that the robust optimization and PPO-RB methods enlarge the feasible covert region while preserving radar sensing, communication quality and covert security in static and dynamic settings.