A Context-Aware Trust Framework for Resilient Distributed Cooperative Spectrum Sensing in Dynamic Settings

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dc.citation.firstpage9177en_US
dc.citation.issueNumber10en_US
dc.citation.journalTitleIEEE Transactions on Vehicular Technologyen_US
dc.citation.lastpage9191en_US
dc.citation.volumeNumber66en_US
dc.contributor.authorVosoughi, Aidaen_US
dc.contributor.authorCavallaro, Joseph R.en_US
dc.contributor.authorMarshall, Alanen_US
dc.date.accessioned2017-11-29T16:35:27Zen_US
dc.date.available2017-11-29T16:35:27Zen_US
dc.date.issued2017en_US
dc.description.abstractCognitive radios enable dynamic spectrum access where secondary users (SUs) are allowed to operate on the licensed spectrum bands on an opportunistic noninterference basis. Cooperation among the SUs for spectrum sensing is essential for environments with deep shadows. In this paper, we study the adverse effect of insistent spectrum sensing data falsification (ISSDF) attack on iterative distributed cooperative spectrum sensing. We show that the existing trust management schemes are not adequate in mitigating ISSDF attacks in dynamic settings where the primary user (PU) of the band frequently transitions between active and inactive states. We propose a novel context-aware distributed trust framework for cooperative spectrum sensing in mobile cognitive radio ad hoc networks (CRAHN) that effectively alleviates different types of ISSDF attacks (Always-Yes, Always-No, and fabricating) in dynamic scenarios. In the proposed framework, the SU nodes evaluate the trustworthiness of one another based on the two possible contexts in which they make observations from each other: PU absent context and PU present context. We evaluate the proposed context-aware scheme and compare it against the existing context-oblivious trust schemes using theoretical analysis and extensive simulations of realistic scenarios of mobile CRAHNs operating in TV white space. We show that in the presence of a large set of attackers (as high as 60% of the network), the proposed context-aware trust scheme successfully mitigates the attacks and satisfy the false alarm and missed-detection rates of 10−2 and lower. Moreover, we show that the proposed scheme is scalable in terms of attack severity, SU network density, and the distance of the SU network to the PU transmitter.en_US
dc.identifier.citationVosoughi, Aida, Cavallaro, Joseph R. and Marshall, Alan. "A Context-Aware Trust Framework for Resilient Distributed Cooperative Spectrum Sensing in Dynamic Settings." <i>IEEE Transactions on Vehicular Technology,</i> 66, no. 10 (2017) IEEE: 9177-9191. https://doi.org/10.1109/TVT.2017.2716361.en_US
dc.identifier.digitalFINAL_VERSION_Vosoughi_TVT_2017en_US
dc.identifier.doihttps://doi.org/10.1109/TVT.2017.2716361en_US
dc.identifier.urihttps://hdl.handle.net/1911/98869en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IEEE.en_US
dc.titleA Context-Aware Trust Framework for Resilient Distributed Cooperative Spectrum Sensing in Dynamic Settingsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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