Security Monitoring of Railway Vehicle Communication Protocol Based on Fuzzy Test

Abstract

With the rapid development of rail transit, the requirements of Internet of Things technology and communication capability continue to increase, and the security problems involved are gradually exposed. How to enhance the stability and security of rail vehicle communication is a key problem. Therefore, a security vulnerability technology of vehicle communication protocol in rail transit industry based on fuzzy testing technology is proposed. By adding a Seq2Seq model to the security vulnerability detection system, the technology makes it learn twice to improve the detection ability. At the same time, the new system also improves the limited number of possibilities and supports custom frame types. By using the TRDP protocol for analysis and testing on the vehicle device, the new system has obvious advantages in acceptance coverage and anomaly rate compared with the traditional fuzzy test method. It is proved that this method can effectively improve the detection efficiency, discover vulnerabilities, and solve the problem that traditional testing cannot effectively detect protocol vulnerabilities in rail transit vehicle communication system.