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Correcting Congestion-Based Error in Network Telescope's Observations of Worm Dynamics

机译:纠正网络望远镜对蠕虫动态观测的拥塞错误

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Network telescopes have been invaluable for collecting information about dynamics of large-scale worm events. Yet, a telescope's observation may be incomplete due to scan congestion drops, hardware limitations, filtering and presence of NATs, a worm's non-uniform scanning strategy or its short life. We investigate inaccuracies in telescope observations that arise from worm-induced congestion drops of worm scans and show that they may lead to significant underestimates of the number of infectees and their scanning rate. We propose a method to infer worm-induced congestion drops from telescope's observations and use them to accurately estimate global worm dynamics. We apply our methods to CAIDA telescope's observations of Witty worm's spread, and release corrected statistics of worm dynamics for public use.
机译:网络望远镜一直非常宝贵,用于收集有关大规模蠕虫事件的动态的信息。然而,由于扫描拥塞下降,硬件限制,过滤和NAT的存在,蠕虫的非均匀扫描策略或其短寿命,望远镜的观察可能是不完整的。我们调查从蠕虫诱导的蠕虫扫描的蠕虫疾病的望远镜观察中的不准确性,表明它们可能导致患有感染者数量的显着低估及其扫描率。我们提出了一种方法来推断出蠕虫引起的拥堵从望远镜的观察中的潜水,并用它们来准确估计全球蠕虫动态。我们将方法应用于CAIDA TELESCOPE对诙谐的蠕虫的观察,并释放纠正蠕虫动态的统计数据供公共使用。

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