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Timing-based Localization of In-Band Wormhole Tunnels in MANETs

机译:MANET带内虫洞隧道基于时间的定位

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The problem of localizing in-band wormhole tunnels in MANETs is considered. In an in-band wormhole attack, colluding attackers use a covert tunnel to create the illusion that two remote network regions are directly connected. This apparent shortcut in the topology attracts traffic which the attackers can then control.rnTo identify the nodes participating in the attack, it is necessary to determine the path through which victims' traffic is covertly tunneled. This paper begins with binary hypothesis testing, which tests whether a suspected path is carrying tunneled traffic. The detection algorithm is presented and evaluated using synthetic voice over IP (VoIP) traffic generated in a network testbed. After that, we consider multiple hypothesis testing to find the most likely tunnel path among a large number of candidates. We present a tunnel path estimation algorithm and its numerical evaluation using Poisson traffic. A main feature of the proposed algorithms is their robustness against the presence of chaff packets (possibly introduced to avoid detection), packet loss caused by unreliable wireless links, and clock skew at different nodes.
机译:考虑了在MANET中定位带内虫洞隧道的问题。在带内虫洞攻击中,共谋的攻击者使用隐蔽隧道来创建两个远程网络区域直接连接的错觉。拓扑中这种明显的捷径吸引了攻击者随后可以控制的流量。为了识别参与攻击的节点,有必要确定秘密传输受害者流量的路径。本文从二进制假设测试开始,该测试用于测试可疑路径是否承载隧道流量。使用在网络测试台中生成的IP合成语音(VoIP)流量来介绍和评估检测算法。之后,我们考虑进行多个假设检验,以在大量候选对象中找到最可能的隧道路径。我们提出了一种使用泊松交通的隧道路径估计算法及其数值评估。所提出算法的主要特征是它们对谷壳数据包的存在(可能为了避免检测而引入)的鲁棒性,由于不可靠的无线链路导致的数据包丢失以及不同节点处的时钟偏斜。

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