Hybrid Quantum Machine Learning for Intrusion Detection: A Comparative Study of QNN and QSVM Models

Intrusion Detection Systems (IDSs) are a cornerstone of modern cybersecurity; however, their performance is increasingly constrained by high-dimensional network traffic and the scalability limitations of classical machine learning approaches. Quantum Machine Learning (QML) has recently emerged as a...

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Hlavní autoři:	Raid Anis Kerkatou, Hacene Belhadef, Aicha Eutamene, Svetlana Petrova Stefanova
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Cybersecurity intrusion detection systems quantum machine learning quantum neural networks quantum support vector machines network security
On-line přístup:	https://ieeexplore.ieee.org/document/11520322/
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