Impact of Metric Selection on Wireless DeAuthentication DoS Attack Performance

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

doi:10.1109/WCL.2013.072513.130428

Impact of Metric Selection on Wireless DeAuthentication DoS Attack Performance

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

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

637 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 language	English
Pages (from-to)	571-574
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	2
Issue number	5
Early online date	05 Aug 2013
DOIs	https://doi.org/10.1109/WCL.2013.072513.130428
Publication status	Published - 05 Oct 2013

Access to Document

10.1109/WCL.2013.072513.130428Licence: Unspecified

Impact of Metric Selection on Wireless DeAuthentication DoS Attack Performance
(c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
Submitted manuscript, 484 KB

Cite this

@article{d95881c7e0f44affa97d535f4632bf94,

title = "Impact of Metric Selection on Wireless DeAuthentication DoS Attack Performance",

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.",

author = "Jonny Milliken and Valerio Selis and Yap, {Kian Meng} and Alan Marshall",

year = "2013",

month = oct,

day = "5",

doi = "10.1109/WCL.2013.072513.130428",

language = "English",

volume = "2",

pages = "571--574",

journal = "IEEE Wireless Communications Letters",

issn = "2162-2337",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "5",

}

TY - JOUR

T1 - Impact of Metric Selection on Wireless DeAuthentication DoS Attack Performance

AU - Milliken, Jonny

AU - Selis, Valerio

AU - Yap, Kian Meng

AU - Marshall, Alan

PY - 2013/10/5

Y1 - 2013/10/5

N2 - 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.

AB - 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.

U2 - 10.1109/WCL.2013.072513.130428

DO - 10.1109/WCL.2013.072513.130428

M3 - Article

SN - 2162-2337

VL - 2

SP - 571

EP - 574

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 5

ER -

Impact of Metric Selection on Wireless DeAuthentication DoS Attack Performance

Abstract

Access to Document

Fingerprint

Cite this