Providing Information Security of Vehicular Ad Hoc Networks Using the Early Detection of Malicious Nodes

Abstract

The peculiarities of vehicular ad hoc networks (VANETs) are considered. An approach to provide information security of VANETs is proposed; its distinctive feature lies in the early detection of malicious activity of network participants. For its detection at an early stage, the parameters of the ad hoc vehicular network are represented as a time series, and the prediction of their future values and anomaly detection are carried out using machine learning methods. The proposed approach allows improving the security of intelligent transport systems.