On the ISO Compliance of Model-Based Risk Assessment for Autonomous Cyber-Physical Production Systems

Industrial digitalization has led to the introduction of autonomous cyber-physical production systems, optimizing the production processes. Stakeholders, however, are becoming concerned about the trustworthiness of such systems, especially its safety and the safety of its users. Over the years, many model-based risk assessment techniques have been proposed to help mitigate the trustworthiness-related risks within the targeted systems. However, these techniques do not meet the requirements of the guidelines provided by the International Standardization Organization have. Moreover, these techniques fail to consider the possible risks from the machine learning component of autonomous cyber-physical production systems. As a contribution, this paper presents an analysis of the compliance of MATrICS with the relevant ISO standards, its adaptation to ensure compliance, and its validation.