Detecting Vehicular Networking Node Misbehaviour Using Machine Learning

Security has been one of the major concerns from the very start of the vehicular revolution irrespective of the industry. A sudden explosion in the amount of vehicle availability has led to an increase in the number of digital thefts. Similarly malicious behavior of vehicles has become a leading field of specialization in Computer Industry to protect Vehicular network from unwanted behavior of vehicles. To address this specific issue, this paper proposes a system developed to be developed in. Different types of machine learning/Deep learning algorithms are to apply to protect from various types misbehaving vehicles.