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A Wireless Intrusion Detection System for 802.11 networks
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (PriSec)ORCID iD: 0000-0001-9886-6651
Integrated Operations, ABB AS, Norway.
(Integrated Operations, ABB AS, Norway)
ABB Corporate Research, ABB AS, Norway.
2016 (English)In: PROCEEDINGS OF THE 2016 IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET), IEEE conference proceedings, 2016, p. 828-834Conference paper, Published paper (Refereed)
Abstract [en]

Wireless local area networks (WLANs) deployment is increasing rapidly. At the same time, WLANs have become an attractive target for many potential attackers. In spite of that, the de facto standard used to implement most WLANs (IEEE 802.11) has what appear to be residual vulnerabilities related to identity spoofing. In this paper, a pragmatic study of two common attacks on the standard is conducted. These attacks are then implemented on test beds to learn attack behavior. Finally, novel attack signatures and techniques to detect these attacks are devised and implemented in a proof of concept Wireless Intrusion Detection System (WIDS).

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016. p. 828-834
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-46218DOI: 10.1109/WiSPNET.2016.7566249ISI: 000388601800172ISBN: 978-1-4673-9338-6 (print)OAI: oai:DiVA.org:kau-46218DiVA, id: diva2:971987
Conference
International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, India, 23-25 March 2016
Available from: 2016-09-19 Created: 2016-09-19 Last updated: 2018-01-10Bibliographically approved

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  • apa
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  • de-DE
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  • Other locale
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Output format
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