Evidence item

The primary study describes its proposed cybersecurity framework. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 20399

Source: Adaptive quantum-walk-inspired attack graph compiler for vulnerability-aware exploration and explainable cybersecurity attack path prioritization · locator {} · excerpt hash sha256:b535d00a2dab6bc6c6b93784fe5c71efbe35e412bf451e69e6ef2f49ed19efe4

This paper proposes the Adaptive Quantum-Walk-Inspired Attack Graph Compiler (AQAGC), a hybrid quantum–classical attack graph analytics framework that employs quantum walk principles to improve attack-path discovery, prioritization, and explainable cyber-risk analysis.