Enhancing IoT Network Intrusion Detection with a New GraphSAGE Embedding Algorithm Using Centrality Measures

Authors

Ahmad Fadlallah (ORCID: https://orcid.org/0000-0002-2284-5034)
Mourad Zghal (ORCID: https://orcid.org/0000-0003-1329-8574)
Zakariya Ghalmane (ORCID: https://orcid.org/0000-0002-2440-2886)
Ali Jaber (ORCID: https://orcid.org/0000-0002-6976-133X)
Mohamed‐el‐Amine Brahmia (ORCID: https://orcid.org/0000-0003-0114-210X)
Mortada Termos (ORCID: https://orcid.org/0009-0009-1481-683X)

Institutions

Lebanese University (LB)
Arts, Sciences and Technology University in Lebanon (LB)

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.5220/0013363000003944
Citations: 5
Primary Topic: Network Security and Intrusion Detection
Type: article
Field-Weighted Citation Impact: 7.44

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article

Enhancing IoT Network Intrusion Detection with a New GraphSAGE Embedding Algorithm Using Centrality Measures

Ahmad Fadlallah, Mourad Zghal, Zakariya Ghalmane, Ali Jaber et al.

Jan 1, 2025

5 citations

Network Security and Intrusion Detection

7.44

article

Enhancing IoT Network Intrusion Detection with a New GraphSAGE Embedding Algorithm Using Centrality Measures

Ahmad Fadlallah, Mourad Zghal, Zakariya Ghalmane, Ali Jaber, Mohamed‐el‐Amine Brahmia, Mortada Termos

January 1, 2025article en

5 citations

Abstract

No abstract available for this paper.

Lebanese University (LB), Arts, Sciences and Technology University in Lebanon (LB)

Openalex Percentile: Top 3%

Network Security and Intrusion Detection

7.44

DOI Open Access PDF OpenAlex

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