Journal article Peer Reviewed

ARTIFICIAL INTELLIGENCE–BASED SUPER NODES FOR REAL-TIME THREAT DETECTION IN DISTRIBUTED ENVIRONMENTS BIBLIOMETRIC ANALYSIS

Lopes, José , Dias Lousã, Mário Jorge , José C. Morais

ISLA — Instituto Politécnico de Gestão e Tecnologia

The widespread adoption of distributed systems, driven by the growth of the Internet of Things (IoT), edge computing, and cloud infrastructure, has substantially expanded the attack surface of modern digital ecosystems. These environments, characterized b, 2026

DOI: 10.58086/yv38-0307 Handle: http://hdl.handle.net/10400.26/61316

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Abstract

Abstract not provided by the author or the indexing source.

Keywords

#Artificial Intelligence #Machine Learning #IoT Security #Edge Intelligence #Bib-liometric Analysis.

Bibliographic Details

Publication Type Journal article

Publication Year 2026

Journal / Conference / Work The widespread adoption of distributed systems, driven by the growth of the Internet of Things (IoT), edge computing, and cloud infrastructure, has substantially expanded the attack surface of modern digital ecosystems. These environments, characterized b

ISSN 0874-8799

Publication Status Published

ISLA Authors & Affiliations

José Carlos Pereira de Morais

jcpmorais@gmail.com ID: D412-2DF0-6747

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