Secure vehicular communication is a critical factor for secure traffic
management. Effective security in intelligent transportation systems (ITS)
requires effective and timely intrusion detection systems (IDS). In this paper,
we consider false data injection attacks and distributed denial-of-service
(DDoS) attacks, especially the stealthy DDoS attacks, targeting the integrity
and availability, respectively, in vehicular ad-hoc networks (VANET). Novel
statistical intrusion detection and mitigation techniques based on centralized
communications through roadside units (RSU) are proposed for the considered
attacks. The performance of the proposed methods are evaluated using a traffic
simulator and a real traffic dataset. Comparisons with the state-of-the-art
solutions clearly demonstrate the superior performance of the proposed methods
in terms of quick and accurate detection and localization of cyberattacks