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An Approach for Anomaly Detection in Network Communications Using <i>k-Path</i> Analysis

In this paper, we present an innovative approach inspired by the <i>Path-scan</i> model to detect paths with <i>k</i> adjacent edges (<i>k-path</i>) exhibiting unusual behavior (synonymous with anomaly) within network communications. This work is motivated by the challenge of identifying malicious a...

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Autori principali: Mamadou Kasse, Rodolphe Charrier, Alexandre Berred, Cyrille Bertelle, Christophe Delpierre
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2024-07-01
Serie:Journal of Cybersecurity and Privacy
Soggetti:
cybersecurity
cyberattacks
Markovian model
generalized maximum likelihood ratio
computer networks
network traffic
Accesso online:https://www.mdpi.com/2624-800X/4/3/22
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