Código QR (código de barras bidimensional)

Lightweight and Energy-Aware Intrusion Detection for Industrial IoT Using TinyML and Edge AI

Abstract Industrial Internet of Things (IIoT) ecosystems are expanding rapidly. Scalable and reliable intrusion detection systems (IDS) are needed to protect critical infrastructures from evolving cyber threats. This study proposes a hybrid IDS framework that combines Graph Attention Networks (GAT)...

ver descrição completa

Na minha lista:
Principais autores: Laila Nassef, Mohammed Ibrahim Alghamdi, Slim BEN CHAABANE, Qaisar Abbas, Wedad M. Alawad, Omar H Albalawi, Osamah I. Alqaisi, Bahjat Fakieh
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2026-06-01
coleção:Scientific Reports
Assuntos:
Graph Attention Networks
Bidirectional GRU
Grey Wolf Optimization
Federated Learning
Industrial IoT
Intrusion Detection
Acesso em linha:https://doi.org/10.1038/s41598-026-50690-0
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados