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Adaptive quantum-walk-inspired attack graph compiler for vulnerability-aware exploration and explainable cybersecurity attack path prioritization PRIMARY_TEXT retrieval pending
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QUOTE {} | A derived multi-scale attack graph benchmark was constructed from the CIC-IDS2017, UNSW-NB15, CSE-CIC-IDS2018, and ToN-IoT datasets, comprising standardized attack graphs containing 50 to 5000 nodes. |
QUOTE {} | Experimental results demonstrate that AQAGC consistently outperforms classical graph-search, probabilistic, quantum-walk-based, and hybrid quantum baselines in attack-path discovery, ranking quality, scalability, robustness, and explaina... |
QUOTE {} | Rather than claiming practical quantum computational advantage, AQAGC leverages quantum-walk-based representations and hybrid simulation to investigate scalable attack graph exploration under realistic noisy intermediate-scale quantum (N... |