In the paper,a secure access control model for big data in the internet of vehicles is designed.The data of the internet of vehicles are collected through the data awareness layer and encrypted with the data encryption standard algorithm.The encrypted data is transmitted to the secure access control center through the network communication layer,and then users are granted or restricted access rights through the security authentication module.In the abnormal data monitoring module,the isolated forest algorithm is applied to detect users with access permission,identify abnormal data,and store the recognized abnormal data in the anomaly monitoring storage database.Based on this,the secure access terminal rejects or allows users to access the big data of the internet of vehicles.The experiment results show that the model can effectively identify abnormal data in the big data of the internet of vehicles,prevent the access operations of customers without access permission,and the communication and time cost of secure access control is low.