Analysis of Safety and Cybersecurity Management Systems Interaction in Decision-Making Including Correlation for Automated Driving Systems

Safety Management Systems (SMS) and Cybersecurity Management Systems (CSMS) need to be investigated in a systematic manner to support the development and advances for Automated Driving Systems (ADS). Self-driving vehicles are accompanied by new and unknown risks which must be considered and managed by means of new and/or adapted management processes to ensure safe ADS that include functional safety and cybersecurity. Functional safety risks can influence cybersecurity and vice-versa. This leads to the statement that interactions between two management systems need to be implemented in organizations. In order to make this interaction process understandable and structured, this paper is identifying the relevant management factors for interaction of SMS and CSMS and analyzes their degree of influence. The main contributions of this paper are, (i) identification of the correlation between management factor interactions bases on the previously performed survey paper and additionally (ii) indication of cluster and pattern of management factors to support the organizational implementation and understanding of the interaction.