TY - JOUR
T1 - A fusion safety and security analysis framework for intelligent and connected vehicles
AU - Sun, Bin
AU - Yang, Shichun
AU - Wang, Yu
AU - Lu, Jiayi
AU - Pang, Zhaowen
AU - Feng, Xinjie
AU - Guang, Haoran
AU - Cao, Yaoguang
N1 - Publisher Copyright:
© 2025 Sun et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2025/9
Y1 - 2025/9
N2 - Driven by advancements in emerging technologies and data-driven innovations, the global automotive industry is focusing on intelligent and connected vehicles (ICVs), which involve complex electronic systems and vast data interactions. Safety concerns have expanded beyond traditional safety measures to include functional safety, safety of the intended functionality (SOTIF), and cybersecurity. Despite their interconnected nature, current methods often address these domains separately, risking incomplete safety assessments. This paper introduces a fusion safety analysis method that evaluates the three domains collectively. By identifying safety attributes and mapping unsafe behaviors to hazardous scenarios, it quantitatively assesses integrated safety risks. An illustrative case study on adaptive cruise control (ACC) highlights the method’s effectiveness, stressing the importance of addressing multi-dimensional safety issues to enhance ICVs safety.
AB - Driven by advancements in emerging technologies and data-driven innovations, the global automotive industry is focusing on intelligent and connected vehicles (ICVs), which involve complex electronic systems and vast data interactions. Safety concerns have expanded beyond traditional safety measures to include functional safety, safety of the intended functionality (SOTIF), and cybersecurity. Despite their interconnected nature, current methods often address these domains separately, risking incomplete safety assessments. This paper introduces a fusion safety analysis method that evaluates the three domains collectively. By identifying safety attributes and mapping unsafe behaviors to hazardous scenarios, it quantitatively assesses integrated safety risks. An illustrative case study on adaptive cruise control (ACC) highlights the method’s effectiveness, stressing the importance of addressing multi-dimensional safety issues to enhance ICVs safety.
UR - https://www.scopus.com/pages/publications/105016646658
U2 - 10.1371/journal.pone.0332050
DO - 10.1371/journal.pone.0332050
M3 - 文章
C2 - 40982563
AN - SCOPUS:105016646658
SN - 1932-6203
VL - 20
JO - PLOS ONE
JF - PLOS ONE
IS - 9 September
M1 - e0332050
ER -