Journal
IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 2, Issue 5, Pages 571-574Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/WCL.2013.072513.130428
Keywords
Denial of service; DeAuthentication; intrusion detection; metrics; security; WiFi
Categories
Funding
- EPSRC [EP/H004793/1]
- Sunway University [INT-SCT-0111-03]
- Queens University Belfast First Trust
- Sunway Pyramid Management
- EPSRC [EP/H004793/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/H004793/1] Funding Source: researchfish
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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.
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