Abstract
The vulnerability of modern cars increases due to their multiple connections to the environment, which offers the possibility of remote attacks in the worst case with fatal outcome. The controller area network (CAN) is still highly used and includes no security features, so intrusion detection systems are a promising approach to secure the communication. The proposed method monitors the CAN communication and uses static checks to differentiate between normal and attack traffic. This enables reliable and comprehensible attack detection and achieves a detection rate up to 100%, generating zero false alarms for the investigated data sets.
Highlights
Nowadays, cars include about 100 Electronic Control Units (ECUs) (Miller and Valasek 2014) communicating among each other to increase driving comfort and to fulfill safety standards
The data set from TU Eindhoven (Dupont and Lekidis 2019) includes recorded Controller Area Network (CAN) traffic via the OBD-II port of Opel Astra and Renault Clio driving in a city
The criteria are implemented as hardware-accelerated Assertion Checking Units (ACU), which are guided by software and reconfigurable
Summary
Cars include about 100 Electronic Control Units (ECUs) (Miller and Valasek 2014) communicating among each other to increase driving comfort and to fulfill safety standards. The most established communication system between these ECUs is the Controller Area Network (CAN). Advantages of CAN are its proven high functional safety and its cost and complexity savings compared to direct wiring. Even ECUs which are responsible for high critical functionality like braking or airbag systems communicate over CAN. The disadvantages of CAN are its vulnerability, as there are almost no security mechanisms built in and countermeasures are hard to include due to functionality and manufacturer requirements. Modern cars are highly connected to the outside
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