Simulation testing is a critical technology for verifying the safety and reliability of autonomous driving systems. To address the data leakage caused by plaintext shared use of scenario data during this process， an obfuscation protection method for simulation testing scenario data was proposed， along with a corresponding three-tier obfuscation strategy. In this method， a series of obfuscation techniques were covered， including data re-encoding， name replacement， sequence scrambling， label reconstruction， trigger condition obfuscation， and event obfuscation， and it was divided into three obfuscation levels according to obfuscation intensity， thereby enhancing scenario data security significantly without influencing simulation testing results. Experimental results demonstrate that the simulation results for obfuscated scenario data are consistent with simulation results for the original data， and the error of the method is within a reasonable range. As the obfuscation level increases， the degree of data protection also improves progressively. The first and second-level obfuscation methods have no significant impact on simulation efficiency， whereas the third-level method introduces a slight delay in simulation execution time within a reasonable range. Overall， three-level obfuscation method system maintains reasonable simulation performance while preventing data leakage effectively， providing a practical solution for the protection of autonomous driving simulation testing scenario data.