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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    Titel :

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


    Beteiligte:
    Troja, Erald (Autor:in) / Lin, Ice (Autor:in)


    Erscheinungsdatum :

    01.04.2021


    Format / Umfang :

    3075937 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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