Data Stream clustering for detecting misbehavior in an intelligent transportation system
Sara Ftaimi, Tomader Mazri · 2021
The security aspect represents a major challenge for the intelligent transport system, whether it is securing the system's various components such as the network and communication between the various nodes or securing the nodes themselves. In ITS, data is generated at high speed, and the data shared between the nodes of the network changes over time at a very high speed. Securing the data shared by the nodes is essential to ensure the integrity and reliable communication. In this paper, we will propose a methodology to detect packets' behavior sent between the different nodes using a data stream clustering algorithm since the data shared between the nodes verify the data stream criteria.