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arXiv 2602.04694cs.SIcs.CRcs.DS
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针是线:在噪声过程树中寻找埋藏路径

The Needle is a Thread: Finding Planted Paths in Noisy Process Trees

University of Ottawa(渥太华大学);Toronto Metropolitan University(多伦多都会大学);Tutte Institute for Mathematics and Computing(图特数学与计算研究所)

Maya Le, Paweł Prałat, Aaron Smith, François Théberge

AI总结:

本文提出了一种在噪声过程树中寻找埋藏路径的算法,用于网络安全中的恶意软件事件检测。

摘要:

受网络安全应用的启发,例如在大量计算机日志数据中寻找有意义的恶意软件相关事件序列,我们引入了'埋藏路径'问题,并提出了一种用于在两个树之间寻找模糊匹配的算法。该算法可以作为更复杂工作流的'基本模块'。我们展示了几个此类工作流在挖掘合成生成数据以及现实世界ACME网络安全数据集中的有用性。

英文摘要:

Motivated by applications in cybersecurity such as finding meaningful sequences of malware-related events buried inside large amounts of computer log data, we introduce the "planted path" problem and propose an algorithm to find fuzzy matchings between two trees. This algorithm can be used as a "building block" for more complicated workflows. We demonstrate usefulness of a few of such workflows in mining synthetically generated data as well as real-world ACME cybersecurity datasets.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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