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

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...

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Bibliographic Details
Main Authors: Mamadou Kasse, Rodolphe Charrier, Alexandre Berred, Cyrille Bertelle, Christophe Delpierre
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Journal of Cybersecurity and Privacy
Subjects:
cybersecurity
cyberattacks
Markovian model
generalized maximum likelihood ratio
computer networks
network traffic
Online Access:https://www.mdpi.com/2624-800X/4/3/22
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