Cognitive Radio Network (CRN) has shown the way of communication without the spectrum scarcity. In this paper, we propose a learning method for the security of CRN which can be used to identify known signals and thus report any unexpected behavior or signals in the network.


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    Titel :

    A Signal Verification Approach to Cognitive Radio Network Security


    Beteiligte:
    Farhat, Tanzin (Autor:in) / Javaid, Ahmad Y (Autor:in) / Devabhaktuni, Vijay (Autor:in) / Wu, Zhiqiang (Autor:in)


    Erscheinungsdatum :

    01.07.2018


    Format / Umfang :

    1015368 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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