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Constructing Correlations of Perturbed Connections Under Packets Loss and Disorder

机译:构建扰动连接在丢失和紊乱下的相关联

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One of the key problems of detecting stepping stones is the construction of connections' correlations. We focus on the use of detecting windows and propose two methods for constructing correlations of perturbed connections. Within the attacker's perturbation range, the first method uses packet-based window and the average value of the packets in the detecting window is set to increase periodically. The method can construct correlations in attacking connection chains by analyzing the increase of the average value of the inter-packet delay between the two connection chains. The second method uses time-based windows. It divides time into segments, forms segments into groups and uses pairs of groups to take the watermarks. These methods can reduce the complexity of correlation computations and improve the efficiency of detecting. The second method can even work under packets loss and disorder.
机译:检测踩踏石头的关键问题之一是建设连接的相关性。我们专注于使用检测Windows并提出两种方法来构建扰动连接的相关性。在攻击者的扰动范围内,第一个方法使用基于分组的窗口,并且检测窗口中的分组的平均值设置为周期性地增加。该方法可以通过分析两个连接链之间的分组间延迟的平均值的增加来构建攻击连接链中的相关性。第二种方法使用基于时间的窗口。它将时间分成段,将段形成为组,并使用成对的组进行水印。这些方法可以降低相关计算的复杂性,提高检测效率。第二种方法甚至可以在数据包损失和紊乱下工作。

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