A complete algorithm to diagnose and alleviate the effects of physical layer attacks

Sasa Maric, Audri Biswas, Sam Reisenfeld

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    3 Citations (Scopus)

    Abstract

    In this paper we present a method to diagnose and mitigate against primary user emulation attacks (PUEA) in cognitive radio networks. We develop a hybrid algorithm that uses a combination of compressed sensing and belief propagation to identify and combat PUEAs. We propose to use compressive sensing in the fusion centre to localise a primary user, the distribute the primary user location to secondary users in order to establish theoretical data for comparison and then use a variant of belief propagation at each secondary user to diagnose primary user emulation attacks. Using a central-distributed hybrid approach ensure that our algorithm is highly adaptable, accurate and simple to implement.
    Original languageEnglish
    Title of host publicationInternational Conference on Signals and Systems (ICSigSys) 2017 : proceedings
    Place of PublicationPiscataway, NJ, USA
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages29-34
    Number of pages6
    ISBN (Electronic)9781509067480
    ISBN (Print)9781509067497
    DOIs
    Publication statusPublished - 30 Jun 2017
    Event1st IEEE International Conference on Signals and Systems, ICSigSys 2017 - Bali, Indonesia
    Duration: 16 May 201718 May 2017

    Other

    Other1st IEEE International Conference on Signals and Systems, ICSigSys 2017
    CountryIndonesia
    CityBali
    Period16/05/1718/05/17

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