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Dynamic Probabilistic Packet Marking Based on PPM

机译:基于PPM的动态概率包标记

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Most of the probability of packet marking (PPM) have existed many problems such as the lost of marking information, the difficulties to reconstruct attack path, low accuracy and so on. In this work, we present a new approach, called dynamic probabilistic packet marking (DPPM), to further improve the effectiveness of PPM. Instead of using a fixed marking probability, we propose to judge whether the packet has been marked or not then choose a proper marking probability. DPPM may solve most of the problems in PPM method. Formal analysis indicates that DPPM outperforms PPM in most aspects.
机译:数据包标记(PPM)的大多数概率存在许多问题,例如标记信息的丢失,重建攻击路径的困难,低精度等。在这项工作中,我们提出了一种新的方法,称为动态概率分组标记(DPPM),以进一步提高PPM的有效性。我们建议判断数据包是否已被标记,而不是使用固定的标记概率,然后选择正确的标记概率。 DPPM可以解决PPM方法中的大多数问题。正式分析表明DPPM在大多数方面都以PPM优于PPM。

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