Study on A Random Forest Improvement Model in Internet of Vehicles
Yalin Li, Fei Li, Jiayan Zhang · IOP Conference Series Earth and Environmental Science · 2020
Abstract Security model is the main means to protect the information security of automobile network. Among many relevant security models, stochastic forest model is a strong classifier model and can better prevent overfitting than decision tree model. It has good characteristics in resisting flood attacks and other aspects, but it has poor ability to resist Sybil attacks. Therefore, an identity authentication system is added on the basis of the original random forest model, which can resist Sybil attacks while supporting the work in the Internet of vehicles environment. Experimental results show that the model can achieve the described effect.