Research on resilience technology for intelligent connected vehicle empowered by endogenous security and safety

Intelligent connected vehicles (ICVs) are a new type of cyber-physical systems; consequently, they encounter safety issues related to software and hardware failures. Additionally, they encounter security issues related to cyberattacks, and emerging safety–security (S&S) issues arising from the interaction of the above factors. Developing a resilient S&S technology system that is reliable and trustworthy, and enables ICVs to prevent, withstand, recover, and adapt to these challenges is highly important in the automotive industry. To achieve this objective, we propose a resilient technology framework for ICVs empowered by endogenous security & safety. Initially, we consider the advanced driving assistance system (ADAS), which is a key system in ICVs, and propose a resilience improvement method based on a dynamic heterogeneous redundancy (DHR) architecture. Next, we propose a resilience quantitative evaluation method based on system-theoretical process analysis for safety and security (STPA-safesec) as well as Bayesian networks. The resilience effectiveness of the proposed DHR-based ADAS is verified by conducting real vehicle testing and model-based evaluation. Based on the above, we further propose a systematic resilience engineering solution for the entire vehicle intelligent network system and verify its effectiveness in dealing with different types of vulnerabilities.