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.


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    Title :

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


    Contributors:
    Troja, Erald (author) / Lin, Ice (author)


    Publication date :

    2021-04-01


    Size :

    3075937 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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