Classification Approach for Intrusion Detection in Vehicle Systems

Advancement in technology has brought about the concept of intelligent vehicles which are considered to be more efficient and safer for the users. Intelligent vehicles tend to be connected to other vehicles, roadside infrastructure, such as the traffic management system and the internet, hence making them to be among the Internet of Things. However, such high levels of connectivity have meant that intelligent vehicles are at risks of cyber-attacks which might interfere with different aspects of the vehicle, such as its communication systems, endangering the security and privacy of the vehicle as well as putting the lives of its passengers at risk [1] [2] [3] [4]. Connected vehicle technology has always been aimed at solving the challenges that are occasionally experienced with intelligent transport systems. An Intelligent Transport System usually allows intelligent vehicles to be in a position to communicate with the roadside infrastructure, other vehicles on the road and other road users. The communication system of an intelligent vehicle is usually referred to as Vehicle-to-Everything (V2X) or it is also referred to as the VANET, an abbreviation for Vehicular Ad hoc Networks [5]. An ordinary VANET communication system is usually responsible for three main types of communication to be considered a smart automobile. V2I involves the vehicle communicating with the roadside infrastructures, such as location sensors and other traffic monitoring systems. V2V involves a smart automobile being able to share information with other vehicles on the road. V2P involves the communication between the vehicle and pedestrians on the road.