X-Mode: A Real Time Approach of Discriminating Wi-Fi Network Impersonators
X-Mode: A Real Time Approach of Discriminating Wi-Fi Network Impersonators
复制标题
X-Mode：区分 Wi-Fi 网络冒充者的实时方法
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
A. Lonie
中科院分区：
文献类型：
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作者：
Zhiqi Tao;B. Nath;A. Lonie
当前的 Wi-Fi 网络基础设施本质上缺乏对各个网络数据包来源的可靠位置了解。因此，攻击者有可能通过生成具有合法流量所有特征的网络流量来冒充合法 Wi-Fi 网络节点（包括客户端和接入点）。为了专门区分非法节点，我们提出了一种使用 Wi-Fi 网络节点信号强度的多个和多个角度测量的方法。在本文中，我们提出了一种实时无监督分析方法，用于识别物理上独立的重复 Wi-Fi 网络节点。我们证明，给定一个密集的传感器网络，来自一小组可识别的关键传感器的数据在节点辨别方面比来自其他传感器的数据更有价值，从而可以大大提高响应速度和辨别准确性。
Current Wi-Fi network infrastructure inherently lacks reliable positional knowledge of the origin of individual network packets. As a consequence, attackers are potentially able to impersonate legitimate Wi-Fi network nodes, including both clients and access points, by generating network traffic with all the characteristics of legitimate traffic. To exclusively discriminate illegitimate nodes, we propose a method of using multiple and multiple-angle measurements of a Wi-Fi network nodepsilas signal strength. In this paper we present a real time unsupervised analysis method for identifying duplicate Wi-Fi network nodes which are physically separate. We demonstrate that, given a dense sensor network, data from a small set of identifiable critical sensors are much more valuable in node discrimination than those from other sensors, enabling large improvement in responding speed and discrimination accuracy.