A Data Fusion Technique to Detect Wireless Network Virtual Jamming Attacks

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dc.cclicenceCC-BY-NC-NDen
dc.contributor.authorEscudero-Andreu, G.
dc.contributor.authorKyriakopoulos, Konstantinos
dc.contributor.authorAparicio-Navarro, Francisco J.
dc.contributor.authorParish, David J.
dc.contributor.authorSantoro, D.
dc.contributor.authorVadursi, M.
dc.date.acceptance2015-07-21
dc.date.accessioned2019-06-12T10:58:06Z
dc.date.available2019-06-12T10:58:06Z
dc.date.issued2015-11-12
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
dc.description.abstractWireless communications are potentially exposed to jamming due to the openness of the medium and, in particular, to virtual jamming, which allows more energy-efficient attacks. In this paper we tackle the problem of virtual jamming attacks on IEEE 802.11 networks and present a data fusion solution for the detection of a type of virtual jamming attack (namely, NAV attacks), based on the real-time monitoring of a set of metrics. The detection performance is evaluated in a number of real scenarios.en
dc.exception.reasonavailable on L'boro Uni repositoryen
dc.exception.ref2021codes254aen
dc.funderEPSRC (Engineering and Physical Sciences Research Council)en
dc.funder.otherDstl/MoDen
dc.identifier.citationEscudero-Andreu, G., Kyriakopoulos, K., Aparicio-Navarro, F.J., Parish, D.J., Santoro, D., Vadursi, M. (2015) A Data Fusion Technique to Detect Wireless Network Virtual Jamming Attacks. In proceedings of 2015 IEEE International Workshop on Measurements & Networking (M&N), Coimbra, Portugal, October 2015.en
dc.identifier.doihttps://doi.org/10.1109/iwmn.2015.7322978
dc.identifier.isbn9781479918607
dc.identifier.urihttps://www.dora.dmu.ac.uk/handle/2086/18032
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidEP/K014307/1en
dc.publisherIEEEen
dc.subjectMeasurements and networkingen
dc.subjectMeasurements on wireless networksen
dc.subjectVirtual jamming attacksen
dc.titleA Data Fusion Technique to Detect Wireless Network Virtual Jamming Attacksen
dc.typeConferenceen

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