Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection. (arXiv:2306.00284v1 [cs.CR])

Quantum machine learning (QML) is an emerging field of research that
leverages quantum computing to improve the classical machine learning approach
to solve complex real world problems. QML has the potential to address
cybersecurity related challenges. Considering the novelty and complex
architecture of QML, resources are not yet explicitly available that can pave
cybersecurity learners to instill efficient knowledge of this emerging
technology. In this research, we design and develop QML-based ten learning
modules covering various cybersecurity topics by adopting …

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