Intrusion detection in connected cars

Automobiles are becoming increasingly connected and therefore are vulnerable to cyber attacks. Intrusion detection systems are a well established technique in cyber security and are now being deployed to detect attacks on cars by filtering the data streams which are exchanged by the car and the outside world as well within the automotive bus systems. The paper gives a brief overview of intrusion detection systems and discusses some of the major cyber security threats arising in the world of connected cars. We also show how intrusion detection systems can be implemented by artificial neural networks.