Algorithm Research on Fuzzy Test Method of CAN Bus Based on Field Weight

Yunhui Jia, Jianhong Yang, S. Wang, Yi Wang, Hongshuo Chen, Zonghao Ma
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Abstract

The communication network in the vehicle, especially the CAN bus network, is under serious security threat. The security of CAN bus network can be improved by fuzzy test technology. At present, there is little research on the fuzzy test technology of automobile can bus. The test case generation method mostly adopts the random generation method, without considering the application layer protocol format of CAN bus, which reduces the passing rate of CAN bus message, It affects the efficiency of fuzzy testing. This paper compares the advantages and disadvantages of the fuzzy testing algorithm based on the improved wgan-gp and the fuzzy testing algorithm based on the field weight. Both algorithms can find the vulnerabilities in the CAN bus and affect the vehicle to produce abnormal response. The fuzzy testing algorithm based on the improved wgan-gp has shorter discovery time and response time and better effect.
基于场权的CAN总线模糊测试方法算法研究
车载通信网络,特别是CAN总线网络面临着严重的安全威胁。采用模糊测试技术可以提高CAN总线网络的安全性。目前,对汽车can总线模糊测试技术的研究很少。测试用例的生成方法大多采用随机生成的方法,没有考虑CAN总线的应用层协议格式,降低了CAN总线消息的通过率,影响了模糊测试的效率。本文比较了基于改进wgan-gp的模糊测试算法和基于场权的模糊测试算法的优缺点。这两种算法都能发现can总线的漏洞,从而影响车辆产生异常响应。基于改进wgan-gp的模糊测试算法发现时间和响应时间更短,效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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