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A data fusion technique to detect wireless network virtual jamming attacks

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conference contribution
posted on 2016-04-18, 13:33 authored by Gines Escudero-Andreu, Kostas KyriakopoulosKostas Kyriakopoulos, Francisco Aparicio-Navarro, David J. Parish, Diego Santoro, M. Vadursi
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.


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.



  • Mechanical, Electrical and Manufacturing Engineering

Published in

3rd IEEE International Workshop on Measurements and Networking (M&N 2015)


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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.




  • AM (Accepted Manuscript)

Publisher statement

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  • en


Coimbra, Portugal