IU-GUARD: Privacy-Preserving Spectrum Coordination for Incumbent Users under Dynamic Spectrum Sharing

• URL: http://arxiv.org/abs/2602.11023v1
• Date: Wed, 11 Feb 2026 16:49:04 GMT
• Title: IU-GUARD: Privacy-Preserving Spectrum Coordination for Incumbent Users under Dynamic Spectrum Sharing
• Authors: Shaoyu Li, Hexuan Yu, Shanghao Shi, Md Mohaimin Al Barat, Yang Xiao, Y. Thomas Hou, Wenjing Lou,
• Abstract summary: Current incumbent protection mechanisms face critical limitations.<n>We propose IU-GUARD, a privacy-preserving spectrum sharing framework.<n>We show that IU-GUARD achieves strong privacy guarantees with practical computation and communication overhead.
• Score: 15.529341977076719
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: With the growing demand for wireless spectrum, dynamic spectrum sharing (DSS) frameworks such as the Citizens Broadband Radio Service (CBRS) have emerged as practical solutions to improve utilization while protecting incumbent users (IUs) such as military radars. However, current incumbent protection mechanisms face critical limitations. The Environmental Sensing Capability (ESC) requires costly sensor deployments and remains vulnerable to interference and security risks. Alternatively, the Incumbent Informing Capability (IIC) requires IUs to disclose their identities and operational parameters to the Spectrum Coordination System (SCS), creating linkable records that compromise operational privacy and mission secrecy. We propose IU-GUARD, a privacy-preserving spectrum sharing framework that enables IUs to access spectrum without revealing their identities. Leveraging verifiable credentials (VCs) and zero-knowledge proofs (ZKPs), IU-GUARD allows IUs to prove their authorization to the SCS while disclosing only essential operational parameters. This decouples IU identity from spectrum access, prevents cross-request linkage, and mitigates the risk of centralized SCS data leakage. We implement a prototype, and our evaluation shows that IU-GUARD achieves strong privacy guarantees with practical computation and communication overhead, making it suitable for real-time DSS deployment.

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