MAC地址复制下ARP失效检测非法接入点

Kosuke Igarashi, Hiroya Kato, I. Sasase
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引用次数: 2

摘要

检测Wi-Fi网络中的流氓接入点(RAP)势在必行。之前的方案是用户端检测,关注RAP使用的两个通道。该方案通过揭示合法接入点(LAP)使用的有故意干扰的信道,可以在稳定的流量环境中检测RAP。但在实际环境中,由于流量不稳定,会影响信道上的流量,导致检测性能下降。因此,有必要设计不受这些因素影响的方案。在本文中,我们提出了在媒体访问控制(MAC)地址重复的情况下,利用地址解析协议(ARP)失效来检测RAP。我们的主要想法是,在攻击下,流量通过客户机和网关之间的LAN路径上的RAP和LAP进行中继。这是因为必须在客户机和LAP之间建立RAP以提供Internet连接。在此基础上,提出的方案通过发现路径上某个AP的MAC地址来揭示客户端连接的AP是一个RAP。为了找到MAC地址,我们利用了这样一种现象,即在其MAC地址和AP的MAC地址在路径上重复的情况下,客户端无法接收ARP应答数据包。通过这样做,可以显示LAP的存在,从而判断连接的AP是RAP。在我们的评估中,即使在不稳定的交通环境下,该方案也能达到96.5%的准确率。真阳性率和假阳性率分别比原方案高31.0%和低9.0%。此外,该方案可以在真实环境中准确地检测到先前方案无法检测到的RAPs。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rogue Access Point Detection by Using ARP Failure under the MAC Address Duplication
Detecting a Rogue Access Point (RAP) in Wi-Fi network is imperative. The previous scheme is user side detection focusing on two channels used by a RAP. That scheme can detect a RAP in stable traffic environment by revealing the channel used with a Legitimate Access Point (LAP) with intentional interference. However, the detection performance is degraded in the real environment where traffic is more unstable because it affects the traffic on the channel. Thus, it is necessary to design the scheme which is independent of such factors. In this paper, we propose RAP detection by using Address Resolution Protocol (ARP) failure under the Media Access Control (MAC) address duplication. Our main idea is that the traffic is relayed via a RAP and a LAP on the LAN path between a client and a gateway under the attack. This is because the RAP must be established between a client and a LAP to provide Internet connection. On the basis of this idea, the proposed scheme reveals that the Access Point (AP) with which a client connects is a RAP by discovering the MAC address of a LAP on the path. In order to find the MAC address, we leverage the phenomenon that a client cannot receive ARP reply packets in the situation where its MAC address and that of a AP are duplicated on the path. By doing this, the presence of a LAP is revealed, which can judge that the connected AP is a RAP. In our evaluation, the proposed scheme achieves accuracy of 96.5% even in unstable traffic environment. True positive rate and false positive rate are 31.0% higher and 9.0% lower than the previous scheme. Furthermore, the proposed scheme can detect RAPs accurately in real environment where the previous scheme cannot.
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