Modern vehicles contain an ecosystem of several electronic units able to exchange data using the serial communication provided by the CAN bus. This protocol can be afflicted by a plethora of attacks that can expose the driver and the passengers to risks for their safety. In this paper we propose a method to detect potential attacks in automotive networks. We start from the analysis of a log obtained from a simulation and we consider a formal verification environment to verify whether the formal model we built from the log is safe. As a proof of concept, we evaluate the proposed method in a case study related to adaptive cruise control, to preliminarily demonstrate its effectiveness.
Identify Potential Attacks from Simulated Log Analysis
Mercaldo F.;Santone A.
2020-01-01
Abstract
Modern vehicles contain an ecosystem of several electronic units able to exchange data using the serial communication provided by the CAN bus. This protocol can be afflicted by a plethora of attacks that can expose the driver and the passengers to risks for their safety. In this paper we propose a method to detect potential attacks in automotive networks. We start from the analysis of a log obtained from a simulation and we consider a formal verification environment to verify whether the formal model we built from the log is safe. As a proof of concept, we evaluate the proposed method in a case study related to adaptive cruise control, to preliminarily demonstrate its effectiveness.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
