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Autor(es):
Abreu, Diego ; Moura, David ; Esteve Rothenberg, Christian ; Abelem, Antonio
Número total de Autores: 4
Tipo de documento: Artigo Científico
Fonte: INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT; v. 35, n. 4, p. 20-pg., 2025-07-01.
Resumo

As the digital landscape becomes increasingly complex, traditional cybersecurity measures are struggling to keep pace with the growing sophistication of cyber threats. This escalating challenge calls for new, more robust solutions. In this context, quantum computing emerges as a powerful tool that can change our approach to network security. Our research addresses this by introducing QuantumNetSec, a novel intrusion detection system (IDS) that combines quantum and classical computing techniques. QuantumNetSec employs quantum machine learning (QML) personalized methodologies to analyze network patterns and detect malicious activities. Through detailed experimentation with publicly shared datasets, QuantumNetSec demonstrated superior performance in both binary and multiclass classification tasks. Our findings highlight the significant potential of quantum-enhanced cybersecurity solutions, showcasing QuantumNetSec's ability to accurately detect a wide range of cyber threats, paving the way for more resilient and effective IDSs in the age of quantum utility. (AU)

Processo FAPESP: 20/04031-1 - Protocolos de roteamento para internet quântica
Beneficiário:Antonio Jorge Gomes Abelém
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 21/00199-8 - Redes e serviços inteligentes rumo 2030 (SMARTNESS)
Beneficiário:Christian Rodolfo Esteve Rothenberg
Modalidade de apoio: Auxílio à Pesquisa - Programa Centros de Pesquisa Aplicada
Processo FAPESP: 23/00811-0 - EcoSustain: ciência de dados e computação para o meio ambiente
Beneficiário:Antonio Jorge Gomes Abelém
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 18/23097-3 - SFI2: fatiamento de infraestruturas de internet do futuro
Beneficiário:Tereza Cristina Melo de Brito Carvalho
Modalidade de apoio: Auxílio à Pesquisa - Temático