Digital Twin-Enabled Vulnerability Assessment with Zero Trust Policy Enforcement in Smart Manufacturing Cyber-Physical System
Biswajit Choubey, Ugoaghalam Uche James, Onuh Matthew Ijiga, Lawrence Anebi Enyejo
Abstract
The convergence of digital twin (DT) technology and zero trust architecture (ZTA) offers a transformative framework for enhancing cybersecurity and operational resilience in smart manufacturing cyber-physical systems (CPS). This review explores how DTs—virtual representations of physical assets—can simulate, monitor, and evaluate vulnerabilities across complex manufacturing networks in real time. Traditional perimeter-based defenses are increasingly ineffective in distributed and interconnected industrial environments. In response, zero trust policy enforcement—anchored in the principles of "never trust, always verify"—introduces dynamic access controls, micro-segmentation, and continuous authentication that address latent security gaps in CPS. The integration of DTs with ZTA provides contextual awareness for asset behavior, enabling predictive threat modeling, anomaly detection, and proactive security orchestration. This paper reviews recent advancements in DT-enhanced vulnerability assessment tools, zero trust policy engines, and their interplay in manufacturing systems with high cyber-physical interdependence. Emphasis is placed on identifying research gaps, evaluating system architectures, and proposing future directions for implementing resilient, secure-by-design CPS infrastructures. By systematically reviewing case studies, industrial applications, and academic frameworks, this study underscores the critical role of DT and ZTA synergy in safeguarding smart manufacturing environments against evolving cyber threats.