A multi-level approach to the dependability analysis of CAN networks for automotive applications

The validation of networked systems is mandatory to guarantee the dependability levels that international standards impose in many safety-critical applications. In this paper we present an environment to study how soft errors affecting the memory elements of network nodes in CAN-based systems may alter the dynamic behavior of a car. The experimental evidence of the effectiveness of the approach is reported on a case study.