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

Fuente: arXiv
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Main Authors: Le, Maya, Prałat, Paweł, Smith, Aaron, Théberge, François
Format: Preprint
Published: 2026
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author Le, Maya
Prałat, Paweł
Smith, Aaron
Théberge, François
author_facet Le, Maya
Prałat, Paweł
Smith, Aaron
Théberge, François
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2602_04694
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The Needle is a Thread: Finding Planted Paths in Noisy Process Trees
Le, Maya
Prałat, Paweł
Smith, Aaron
Théberge, François
Social and Information Networks
Cryptography and Security
Data Structures and Algorithms
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.
title The Needle is a Thread: Finding Planted Paths in Noisy Process Trees
topic Social and Information Networks
Cryptography and Security
Data Structures and Algorithms
url https://arxiv.org/abs/2602.04694