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Title: A data fusion technique to detect wireless network virtual jamming attacks
Authors: Escudero-Andreu, Gines
Kyriakopoulos, Konstantinos G.
Aparicio-Navarro, Francisco J.
Parish, David J.
Santoro, D.
Vadursi, M.
Keywords: Measurements and networking
Measurements on wireless networks
Virtual jamming attacks
Issue Date: 2015
Publisher: © IEEE
Citation: ESCUDERO-ANDREU, G. ... et al., 2015. A data fusion technique to detect wireless network virtual jamming attacks. IN: Proceedgins of 2015 3rd IEEE International Workshop on Measurements and Networking (M&N 2015), Coimbra, Portugal, 12-13 October 2015, DOI: 10.1109/IWMN.2015.7322978.
Abstract: Wireless 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.
Description: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) Grant number EP/K014307/1 and the MOD University Research Collaboration in Signal Processing.
Version: Accepted for publication
DOI: 10.1109/IWMN.2015.7322978
URI: https://dspace.lboro.ac.uk/2134/20947
Publisher Link: http://dx.doi.org/10.1109/IWMN.2015.7322978
ISBN: 9781479918607
Appears in Collections:Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

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