Quality Control Chart for Detecting the Black Hole Attack in Vehicular Ad-hoc Networks

In recent years, a new network type has appeared as a wireless ad-hoc network to rely on between vehicles, it calls Vehicular Ad-hoc Network. The purposes of creating this type of communication network are handling traffic and ensure a safe driving by delivering some useful information to users. To guarantee this, we have to secure the communication by predicting serval security issues to handle them before setting up this network in the real life. One of these issues is the Black Hole Attack. In this paper, we propose a novel method to detect the black hole attack using a quality control chart. This method acts in real-time by monitoring the network activity using graphic representations to detect any abnormal behavior during the communication process.