Privacy-Preserving and Secure Spectrum Sharing for Database-Driven Cognitive Radio Networks

TL;DR

This paper introduces SLAPX, a comprehensive security framework for database-driven cognitive radio networks that ensures privacy, authenticity, and resilience against attacks with improved efficiency.

Contribution

SLAPX is a unified cryptographic framework that combines privacy preservation, location verification, and DoS mitigation tailored for DB-CRNs under realistic adversarial conditions.

Findings

SLAPX reduces latency compared to existing solutions.

It effectively resists location spoofing and DoS attacks.

Cryptographic benchmarks show improved efficiency.

Abstract

Database-driven cognitive radio networks (DB-CRNs) enable dynamic spectrum sharing through geolocation databases but introduce critical security and privacy challenges, including mandatory location disclosure, susceptibility to location spoofing, and denial-of-service (DoS) attacks on centralized services. Existing approaches address these issues in isolation and lack a unified, regulation-compliant solution under realistic adversarial conditions. In this work, we present a unified security framework for DB-CRNs that simultaneously provides location privacy, user anonymity, verifiable location, and DoS resilience. Our framework, denoted as SLAPX, enables privacy-preserving spectrum queries using delegatable anonymous credentials, supports adaptive location verification without revealing precise user location, and mitigates DoS attacks through verifiable delay functions (VDFs) combined with RLRS-based rate limiting. Extensive cryptographic benchmarking and network simulations demonstrate that SLAPX achieves significantly lower latency and communication overhead than existing solutions while effectively resisting location spoofing and DoS attacks. These results show that SLAPX is practical and well-suited for secure next-generation DB-CRN deployments.