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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    Title :

    A Signal Verification Approach to Cognitive Radio Network Security


    Contributors:


    Publication date :

    2018-07-01


    Size :

    1015368 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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