Fraud-resilient Privacy-preserving Crowd-sensing for Dynamic Spectrum Access

Abstract

In this paper we propose a novel privacy-preserving scheme based on the fusion of Dynamic Spectrum Access (DSA) and crowd-sensing paradigm. Our scheme provides location privacy for the crowd-sensing users through homomorphic cryptographic constructions. Furthermore, our scheme mitigates fraudulent sensing report attacks by providing robust fraud prevention based on homomorphic cryptographic constructions. We provide substantial experiments on real-life datasets which shows that our proposed protocol provides realistic efficiency and security.