Impact of Metric Selection on Wireless DeAuthentication DoS Attack Performance

Impact of Metric Selection on Wireless DeAuthentication DoS Attack Performance
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DOI:
10.1109/wcl.2013.072513.130428
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发表时间:
2013-10-01
影响因子:
6.3
通讯作者:
Marshall, Alan
Marshall, Alan
中科院分区:
计算机科学2区
文献类型:
--
作者:
Milliken, Jonny;Selis, Valerio;Marshall, Alan

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公共接入WiFi中的去身份验证拒绝服务攻击利用802.11协议中管理帧的身份验证不足进行操作。对这些攻击的检测几乎完全依赖于选择适当的阈值。在这项工作中,作者证明了还有一些以前没有考虑过的额外指标也会影响DoS检测性能。提出了一种系统地将这些指标调整到最佳值的方法,确保了参数选择的可重复性和可验证性。
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.