A data fusion technique to detect wireless network virtual jamming attacks
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 f...
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2015
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| Online Access: | https://hdl.handle.net/2134/20947 |
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rr-article-95563342015-01-01T00:00:00Z A data fusion technique to detect wireless network virtual jamming attacks Gines Escudero-Andreu (1258725) Kostas Kyriakopoulos (1250595) Francisco Aparicio-Navarro (1253526) David J. Parish (7168355) Diego Santoro (7209968) M. Vadursi (7204685) Mechanical engineering not elsewhere classified Measurements and networking Measurements on wireless networks Virtual jamming attacks Mechanical Engineering not elsewhere classified 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. 2015-01-01T00:00:00Z Text Conference contribution 2134/20947 https://figshare.com/articles/conference_contribution/A_data_fusion_technique_to_detect_wireless_network_virtual_jamming_attacks/9556334 CC BY-NC-ND 4.0 |
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Loughborough University |
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Mechanical engineering not elsewhere classified Measurements and networking Measurements on wireless networks Virtual jamming attacks Mechanical Engineering not elsewhere classified |
| spellingShingle |
Mechanical engineering not elsewhere classified Measurements and networking Measurements on wireless networks Virtual jamming attacks Mechanical Engineering not elsewhere classified Gines Escudero-Andreu Kostas Kyriakopoulos Francisco Aparicio-Navarro David J. Parish Diego Santoro M. Vadursi A data fusion technique to detect wireless network virtual jamming attacks |
| description |
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. |
| format |
Default Conference proceeding |
| author |
Gines Escudero-Andreu Kostas Kyriakopoulos Francisco Aparicio-Navarro David J. Parish Diego Santoro M. Vadursi |
| author_facet |
Gines Escudero-Andreu Kostas Kyriakopoulos Francisco Aparicio-Navarro David J. Parish Diego Santoro M. Vadursi |
| author_sort |
Gines Escudero-Andreu (1258725) |
| title |
A data fusion technique to detect wireless network virtual jamming attacks |
| title_short |
A data fusion technique to detect wireless network virtual jamming attacks |
| title_full |
A data fusion technique to detect wireless network virtual jamming attacks |
| title_fullStr |
A data fusion technique to detect wireless network virtual jamming attacks |
| title_full_unstemmed |
A data fusion technique to detect wireless network virtual jamming attacks |
| title_sort |
data fusion technique to detect wireless network virtual jamming attacks |
| publishDate |
2015 |
| url |
https://hdl.handle.net/2134/20947 |
| _version_ |
1797736585907666944 |