Safety Technology of Rural E-Commerce Traceability Based on Improved Genetic Algorithm

China's rural e-commerce has experienced decades of development, but due to the late start, technology lag and other problems, there are still some problems have not been effectively solved. Firstly, this paper discusses the main security risks in the field of agricultural products logistics. Then, this paper analyzes the factors that limit the healthy, rapid, stable and sustainable development of rural e-commerce, and studies the security technology of rural e-commerce traceability, designs a security model, and tests the performance of the model. The test results show that the security score of the encryption system is 85, indicating that the encryption mechanism of the system is quite effective and can protect the security of data well. The security score of the firewall is only 75, indicating that the firewall system is relatively weak and there may be a certain degree of risk. The security score of access control means is 90, indicating that the system has a good effect on access control and the data is well protected. The security score of data mask is 80, indicating that while data mask technology has been deployed, there is still room for improvement. The security score of the intrusion detection system is 85, which indicates that the intrusion detection ability of the system is good and can detect potential security threats in time. This will provide reference value and practical significance for China's future research in the field of rural e-commerce.