A data fusion technique to detect wireless network virtual jamming attacks
conference contributionposted on 18.04.2016 by Gines Escudero-Andreu, Kostas Kyriakopoulos, Francisco Aparicio-Navarro, David J. Parish, Diego Santoro, M. Vadursi
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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