Decision Tool for Optimizing Functional Safety and Automotive Cybersecurity
Open Access DepositedThe automotive industry has experienced substantial growth in vehicle connectivity and autonomous driver assistance systems, a trend expected to continue through the end of the decade. Alongside this growth, public concerns regarding the safety and security of these features have also increased. In response, regulators and industry professionals have introduced standards, such as ISO 26262, and regulations, like UN ECE R155, to address these issues. While these efforts aim to improve system reliability, they have also led to greater system complexity and increased development costs.Safety and security experts have proposed various co-engineering approaches that integrate safety and security processes to manage these challenges. However, these proposals often fail to provide engineering managers and key project stakeholders with clear guidance on which specific activities should be co-engineered based on the scope of a connectivity or autonomous driver assistance project. This praxis presents a decision-making methodology to assist engineering managers in identifying which safety and security activities can be effectively optimized through co-engineering, depending on the project’s scope. Using the Analytic Hierarchy Process (AHP), eight development activities are evaluated across three distinct project scope categories to determine when co-engineering is appropriate. The results of the AHP analysis are then assessed to estimate potential cost savings from implementing co-engineering strategies. Finally, the findings are compared with existing methodologies proposed by industry safety and security experts to highlight improvements and gaps.
- All rights reserved
Notice to Authors
If you are the author of this work and you have any questions about the information on this page, please use the Contact form to get in touch with us.