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Embry-Riddle Aeronautical University,Department of Electrical Engineering and Computer Science,Daytona Beach,USA
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A novel digital twin framework enables rigorous cybersecurity testing of autonomous platforms, translating threat analysis into actionable, observable tests.
Achieving 99.68% accuracy, this dueling Q-learning model not only outperforms traditional IDS methods but also offers explainability through SHAP, bridging the gap between performance and interpretability in cybersecurity.
