A Cross-Environment Benchmarking Study of Quantum Machine Learning for Wi-Fi Deauthentication Attack Detection Using Public Datasets and Real-World Captures

This study provides a leakage-resistant, cross-environment comparison of quantum and classical models for Wi-Fi deauthentication detection using public and real-world data, including target-domain adaptation and actual quantum hardware evaluation.