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Download fileA data fusion technique to detect wireless network virtual jamming attacks
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. VadursiWireless 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.
Funding
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.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
3rd IEEE International Workshop on Measurements and Networking (M&N 2015)Pages
1 - 6 (6)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.Publisher
© IEEEVersion
- AM (Accepted Manuscript)
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2015Notes
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9781479918607Publisher version
Language
- en