Evidence item

The primary study reports comparative experimental results. MEASUREMENT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 20403

Source: Adaptive quantum-walk-inspired attack graph compiler for vulnerability-aware exploration and explainable cybersecurity attack path prioritization · locator {} · excerpt hash sha256:8df7edd01d3ca96baeeb79fa75fca84beea65d7481d5e66a528c1198a577d2f7

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 explainability.