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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.02270 |
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| _version_ | 1866917118041128960 |
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| author | Sayom, Nazmus Shakib Garcia, Luis |
| author_facet | Sayom, Nazmus Shakib Garcia, Luis |
| contents | We propose a methodology for falsifying safety properties in robotic vehicle systems through property-guided reduction and surrogate execution. By isolating only the control logic and physical dynamics relevant to a given specification, we construct lightweight surrogate models that preserve property-relevant behaviors while eliminating unrelated system complexity. This enables scalable falsification via trace analysis and temporal logic oracles.
We demonstrate the approach on a drone control system containing a known safety flaw. The surrogate replicates failure conditions at a fraction of the simulation cost, and a property-guided fuzzer efficiently discovers semantic violations. Our results suggest that controller reduction, when coupled with logic-aware test generation, provides a practical and scalable path toward semantic verification of cyber-physical systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_02270 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Property-Guided Cyber-Physical Reduction and Surrogation for Safety Analysis in Robotic Vehicles Sayom, Nazmus Shakib Garcia, Luis Cryptography and Security Robotics We propose a methodology for falsifying safety properties in robotic vehicle systems through property-guided reduction and surrogate execution. By isolating only the control logic and physical dynamics relevant to a given specification, we construct lightweight surrogate models that preserve property-relevant behaviors while eliminating unrelated system complexity. This enables scalable falsification via trace analysis and temporal logic oracles. We demonstrate the approach on a drone control system containing a known safety flaw. The surrogate replicates failure conditions at a fraction of the simulation cost, and a property-guided fuzzer efficiently discovers semantic violations. Our results suggest that controller reduction, when coupled with logic-aware test generation, provides a practical and scalable path toward semantic verification of cyber-physical systems. |
| title | Property-Guided Cyber-Physical Reduction and Surrogation for Safety Analysis in Robotic Vehicles |
| topic | Cryptography and Security Robotics |
| url | https://arxiv.org/abs/2512.02270 |