Impact of Metric Selection on Wireless DeAuthentication DoS Attack Performance

Jonny Milliken, Valerio Selis, Kian Meng Yap, Alan Marshall

Research output: Contribution to journalArticle

10 Citations (Scopus)
305 Downloads (Pure)

Abstract

DeAuthentication Denial of Service attacks in Public Access WiFi operate by exploiting the lack of authentication of management frames in the 802.11 protocol. Detection of these attacks rely almost exclusively on the selection of appropriate thresholds. In this work the authors demonstrate that there are additional, previously unconsidered, metrics which also influence DoS detection performance. A method of systematically tuning these metrics to optimal values is proposed which ensures that parameter choices are repeatable and verifiable.
Original languageEnglish
Pages (from-to)571-574
Number of pages4
JournalIEEE Wireless Communications Letters
Volume2
Issue number5
Early online date05 Aug 2013
DOIs
Publication statusPublished - 05 Oct 2013

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