Abstract
Software-defined networking (SDN) is an evolving trend that delivers an architecture that separates the control plane from the data plane. Through the central control, the network is more dynamic, and network capacity is administered more efficiently and cost-effectively. Other technology that is gaining industry attention and has tremendous potential for use worldwide is Vehicle Ad-hoc Networks (VANETs). VANETs are essential components of Intelligent Transport Systems (ITS), and the core objective of all ITS systems is to provide improved transport safety and a range of applications for both drivers and passengers. VANET networks can profit from using an SDN controller. Through the decoupling of control and data in VANET, network intelligence is centralized in a logical structure, and the underlying network backbone is decoupled from all applications. The primary goal of this paper is to monitor and detect DDoS attacks in the context of real-time applications, such as accident prevention, traffic congestion warning, or communication. In this article, we propose a new method to detect such an attack during communication in a VANET network. This method is based on a variable control chart to monitor the quality of a specific process. This method allows to identify malicious nodes in real time by controlling each node that is part of the communication within the network using graphical views.
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