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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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
IEEE
2026-01-01
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| Schriftenreihe: | IEEE Access |
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| Online-Zugang: | https://ieeexplore.ieee.org/document/11520322/ |
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