Evidence item

The primary study describes the proposed framework and its intended functions. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 20455

Source: Adaptive quantum-walk-inspired attack graph compiler for vulnerability-aware exploration and explainable cybersecurity attack path prioritization · locator {} · excerpt hash sha256:d456a36459e6c2a18fab2472a3620d23ac28b14f9827d0678f527ddbaa39f70e

AQAGC is a hybrid quantum–classical attack graph analytics framework using quantum walk principles for attack-path discovery, prioritization, and explainable cyber-risk analysis.