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Vulnerability Detection in AArch64 Machine Code Using a Digital Twin
US & West ·
An explainable digital twin is proposed for detecting vulnerabilities in AArch64 machine code without source access. The twin reproduces program execution, preserving register, flag, memory, and block states. Vulnerabilities are described as symbolic rules in Kleene algebra, compiled into finite automata to scan the trace.
Why it matters
This extends digital twin applications to security analysis of executable code, important for protecting embedded systems and industrial plants.
Analysts discuss that building a digital twin of Mercury Systems' operations using Palantir technologies could improve transparency and management efficiency, potentially enhancing the company's investment appeal.
The Twin system builds an executable world model at test time for continual learning tasks like ARC-AGI-3 games. The model is constructed from simulation and interaction alone, without hand-engineering. Actions are validated in a twin world model, and mismatches are used to repair the model.
An SGWO-IM algorithm is proposed for calibrating material parameters in ray-tracing used for 6G digital twin channels. It combines Grey Wolf Optimizer with individual memory and an online surrogate model for candidate pre-screening, reducing computational cost and improving accuracy.
