AI RESEARCH
Threat-Oriented Digital Twinning for Security Evaluation of Autonomous Platforms
arXiv CS.AI
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ArXi:2604.25757v1 Announce Type: cross Open, unclassified research on secure autonomy is constrained by limited access to operational platforms, contested communications infrastructure, and representative adversarial test conditions. This paper presents a threat-oriented digital twinning methodology for cybersecurity evaluation of learning-enabled autonomous platforms.