The features of VANETs are considered. An approach to ensuring the information security of VANETs is proposed, the distinctive feature of which is the early detection of malicious activity of network nodes. To achieve early detection of malicious activity, the parameters of VANETs are presented as a time series, after which their future values are predicted and anomalies are searched by using machine learning methods. The proposed approach makes it possible to improve the safety of intelligent transport systems